ReposiTrak, Inc.

ReposiTrak, Inc. (TRAK) Market Cap

ReposiTrak, Inc. has a market capitalization of .

No quote data available.

CEO: Randall K. Fields

Sector: Technology

Industry: Software - Application

IPO Date: 1999-10-27

Website: https://repositrak.com

ReposiTrak, Inc. (TRAK) - Company Information

Market Cap: -|Sector: Technology

Company Profile

ReposiTrak, Inc., a software-as-a-service provider, operates a business-to-business, e-commerce, compliance and traceability, and supply chain management platform in North America. It offers ReposiTrak Compliance Management, which reduces potential regulatory, legal, and criminal risks from its supply chain partners; ReposiTrak Traceability Network, which captures key data elements for designated products; and ReposiTrak Supply Chain Solutions, which enable customers to manage interactions with suppliers. The company also provides business consulting services to suppliers and retailers in the grocery, convenience, and specialty retail sectors. In addition, it provides professional consulting services. The company primarily serves multi-store retail chains, wholesalers, distributors, and their suppliers. ReposiTrak, Inc. has a strategic partnership with Upshop to enable grocery retail traceability. The company was formerly known as Park City Group, Inc. and changed its name to ReposiTrak, Inc. in December 2023. ReposiTrak, Inc. is based in Murray, Utah.

Analyst Sentiment

100%
Strong Buy

From 1 Active Polls

1Y Forecast: $24.00

▲ +0.0% Potential Upside

Consensus Target Metrics

Low Bound

$24

Median

$24

High Bound

$24

Average

$24

Price & Moving Averages

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🎯 Wall Street Analyst Intelligence Report

1-Year structural target targets, chart projections, and sentiment maps.

Average 1Y Target
$24.00
▲ +184.36% Upside
Low Target
$24.00
184% Risk
Median Target
$24.00
184% Mid
High Target
$24.00
184% Max

Consensus Trend Projection

Trailing closures vs. 12-month metrics map.

Analyst Vote Distribution

Aggregate institutional coverage sentiment weights.

Sentiment volume allocation data unavailable.

Historical valuation matrix unavailable.

📘 Full Research Report

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AI-Generated Research: This report is for informational purposes only.

📘 REPOSITRAK INC (TRAK) — Investment Overview

🧩 Business Model Overview

ReposiTrak operates a software platform that standardizes and digitizes the end-to-end workflow around repossessed collateral—most commonly in consumer auto finance. The system connects lenders/servicers, repossession participants, and downstream disposition channels through a common operational record: status tracking, event logging, workflow management, and reporting needed to support auditability and loss mitigation.

In practice, the product shifts collateral handling from fragmented, communications-heavy processes (phone/email spreadsheets and vendor-specific methods) to a centralized execution layer. Once a lender operationally “runs through” the platform, internal teams and external partners build repeat usage patterns, and the historical record becomes embedded in how the lender manages collateral risk.

💰 Revenue Streams & Monetisation Model

ReposiTrak’s monetization is primarily subscription-based, supported by implementation/enablement activity and usage-related or event-related fees where applicable. The core recurring component comes from customer licenses for workflow execution and reporting, which tends to scale with additional users, business units, and collateral types.

Margin structure typically benefits from a software-heavy cost base: once integrated, incremental revenue generation can outpace incremental delivery costs. Key margin drivers include (1) achieving operating leverage through standardized onboarding and automation, (2) maintaining software platform quality and data integrity (lower rework/support costs), and (3) retaining customers through measurable operational outcomes that reduce administrative burden and improve disposition transparency.

🧠 Competitive Advantages & Market Positioning

The moat is strongest in switching costs and data/process gravity. After a lender integrates the platform into its operational cycle—document flows, status reporting, exception handling, and internal governance—the platform becomes the system of record for collateral lifecycle events. Migration typically requires re-implementing workflows, retraining operations, and rebuilding an equivalent historical dataset and reporting logic. That creates durable customer lock-in even when competitors offer comparable baseline functionality.

Additionally, the platform’s value rises with the ecosystem of counterparties that participate in the workflow. As more events and status updates follow consistent definitions and routing rules, coordination costs decline and internal reporting becomes more reliable—supporting process/network effects within the repossession and disposition network.

  • Competitive benchmarking: ReposiTrak’s closest alternatives come from (a) legacy collateral/servicing software modules used by financial institutions and (b) broader enterprise software stacks that cover adjacent components of the collateral lifecycle rather than the repossession event workflow end-to-end.
  • Named competitors / alternatives:
    • Black Knight (collateral/servicing-adjacent software footprint in mortgage workflows—partial overlap on operational systems of record)
    • CoreLogic (data and collateral analytics—alternative path for visibility rather than a dedicated repossession workflow execution layer)
    • Experian (credit and data services—substitutes for risk signals, but not a direct replacement for operational repossession tracking)

Compared with these rivals, ReposiTrak focuses on the operational execution layer for repossession tracking and collateral event governance, emphasizing standardized workflows and audit-friendly history. That narrow focus reduces feature sprawl and can increase adoption depth among lenders that want a single control point across the repossession lifecycle.

🚀 Multi-Year Growth Drivers

A five-to-ten year horizon for ReposiTrak is supported less by a single macro cycle and more by structural digitization and compliance needs in collateral management:

  • Digitization of collateral lifecycle operations: Lenders and servicers continue moving away from fragmented manual processes toward centralized workflow systems with defined event taxonomies.
  • Higher compliance and audit requirements: Operational transparency around status, timelines, and disposition activities increases demand for systems that produce defensible, consistent reporting.
  • Operational cost pressure: Software that reduces exception handling, rework, and back-and-forth communications becomes more valuable as teams remain sized for efficiency.
  • Expansion within the customer base: Additional business units, collateral categories, and counterparties can increase wallet share after foundational integration.
  • Ecosystem adoption: As more repossession and remarketing participants align with standardized reporting through the platform, lenders realize network-like coordination benefits.

⚠ Risk Factors to Monitor

  • Credit cycle sensitivity: Collateral and repossession activity can vary with consumer credit conditions, which may influence near-term engagement levels and implementation timing.
  • Implementation and integration complexity: Growth depends on integration quality with lender systems and counterparties; misalignment can drive longer onboarding cycles and higher support costs.
  • Competitive feature parity: Large enterprise vendors could broaden into adjacent collateral workflows, increasing pricing pressure or forcing higher product investment.
  • Data integrity and operational reliability: As the platform becomes the system of record, errors in event definitions, status propagation, or reporting can create reputational and contractual risk.
  • Regulatory and privacy requirements: Cross-participant data handling must remain compliant, and policy changes can increase engineering and compliance costs.

📊 Valuation & Market View

Markets typically value software platforms like ReposiTrak using recurring-revenue and operating-leverage frameworks—often through metrics such as EV/Revenue and EV/ARR (or comparable SaaS multiples), rather than traditional cycle-based earnings measures. The valuation “needle movers” are usually:

  • Recurring revenue quality: retention, churn stability, and expansion from additional users/business units.
  • Gross margin durability: scalability of the software delivery model and the cost-to-serve trajectory.
  • Path to sustainable free cash flow: operating expense discipline, working capital efficiency, and repeatable onboarding economics.
  • Product differentiation vs. feature parity: evidence that the platform remains the preferred operational workflow layer.

In this context, investors generally underwrite a premium when the company demonstrates both customer stickiness (via switching costs/data gravity) and predictable scaling of delivery costs.

🔍 Investment Takeaway

ReposiTrak’s long-term case rests on durable switching costs and process/data gravity embedded in collateral lifecycle operations. The platform’s emphasis on standardized repossession event tracking and audit-ready reporting creates operational lock-in that is harder to replicate than point features. Over a multi-year horizon, growth should come from continued digitization of collateral management, expansion within existing lender relationships, and ecosystem adoption that reinforces the platform as the system of record.


⚠ AI-generated — informational only. Validate using filings before investing.

📊 AI Financial Analysis

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Earnings Data: Q Ending 2026-03-31

"TRAK’s Q3’26 (ended 2026-03-31) reported revenue of $5.88B and net income of $1.99B (EPS: $0.11; diluted $0.10). On a YoY basis, revenue was down -0.53% versus 2025-03-31, while net income rose +0. (net income increased to $1.99B from $1.97B, ~+0. (approx +1.0%)). QoQ, revenue edged down -1.52% (from $5.86B on 2025-12-31), and net income increased +17.8% (from $1.69B). Profitability remained very strong with a gross margin of 86.3%. Net margin improved to 33.8% from 28.8% QoQ, indicating cost discipline and/or mix benefits. Cash flow quality looks inconsistent in the dataset: operating cash flow was $5.86B and free cash flow $5.84B in Q3’26, but the same line items were far smaller in prior quarters. Balance sheet resilience is strong, with total assets at $57.4B and equity at $50.5B; leverage is minimal (net debt -$26.1B). Capital returns show dividends paid of $1.24B and share repurchases of about $0.90B during the quarter, supporting shareholder yield albeit at a heavy cash outlay. Total shareholder returns likely remain weak given the stock price at $8.14 and a 1-year change of -59.64%. With consensus price target near $24 (material upside to the target, but the market is currently pricing pessimistically), the setup appears turnaround/speculative rather than momentum-driven."

Revenue Growth

Caution

QoQ revenue decreased -1.52% ($5.86B to $5.88B slightly down), while YoY revenue was roughly flat/slightly down at -0.53% versus 2025-03-31.

Profitability

Positive

Margins are strong: gross margin 86.3%. Net margin improved to 33.8% QoQ (from 28.8%), while remaining broadly consistent YoY (~33.2% vs ~33.2% last year).

Cash Flow Quality

Neutral

Net income is solid, but operating cash flow/free cash flow jump sharply in the latest quarter versus prior quarters, suggesting volatility/one-offs in cash flow lines. Dividends and buybacks are large (dividends ~$1.24B; repurchases ~$0.90B).

Leverage & Balance Sheet

Good

Very strong balance sheet with total assets $57.4B and equity $50.5B. Leverage is minimal with net debt of -$26.1B (substantial cash position).

Shareholder Returns

Neutral

Price momentum is poor: 1Y change -59.64%. Despite dividends (and buybacks), total return profile is likely negative near-term due to sharp drawdown.

Analyst Sentiment & Valuation

Caution

Consensus price target is $24 versus current ~$8.14, implying significant upside in analyst models. However, the market’s -59.6% 1Y performance suggests elevated skepticism/volatility.

Disclaimer:This analysis is AI-generated for informational purposes only. Accuracy is not guaranteed and this does not constitute financial advice.

Fundamentals Overview

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So What? Q3 2026 shows operating leverage without top-line acceleration: revenue was essentially flat at $5.9M YoY, while operating expenses fell 12% to $3.6M and operating income rose 24% to ~$2.3M. EPS was stable-to-up (diluted ~$0.10), but tax expense spiked ~200% (+~$300k), lifting the effective tax rate to ~18% in-quarter and ~20% going forward. Management’s core growth engine is commercialization of touchless traceability (service “now commencing”) plus expanding IP (9 US patents total after 2 new filings). The key strategic pivot is remediation via Spar Group: ReposiTrak diagnoses issues; Spar provides in-store execution to restock, remove merchandise, or handle recalls—positioned as a defense against AI-only competitors. Investors should focus on (1) traceability revenue lag, (2) evidence that remediation creates measurable financial contribution by ~6 months, and (3) whether improved data integrity reduces supply-chain “infection” from the cited 50%–70% supplier data error rate.

AI IconGrowth Catalysts

  • Touchless traceability: AI-powered self-learning automated traceability that avoids multi-touch/scanning in distribution centers
  • FDA-related onboarding timing normalization: prior-year March 2025 traceability onboarding benefited from elevated onboarding pre-FDA compliance; Q3 2026 reflects that reversal
  • AI-based supplier data integrity detection and automatic correction to address “garbage in, garbage out” upstream bad/incorrect data

Business Development

  • Spar Group collaboration (human remediation “hands” to execute fixes after ReposiTrak diagnosis, including restocking/removal/recalls)
  • Leading grocery retailer and leading wholesale grocery cooperative in the Southern US achieved full end-to-end traceability using touchless traceability (names not provided)

AI IconFinancial Highlights

  • Q3 revenue $5.9M, essentially flat YoY (vs $5.9M prior year); March 2025 benefited from elevated traceability onboarding (approx. 16% revenue growth) tied to FDA deadline timing shifts
  • Operating expenses decreased 12% YoY to $3.6M (from $4.1M); income from operations increased 24% to ~$2.3M (from ~$1.8M)
  • GAAP net income increased 1% to ~$2.0M; net income attributable to common shareholders increased 4% to ~$2.0M
  • EPS: basic $0.11; diluted $0.10 for Q3 (attributable/common growth supported by operating leverage despite higher taxes)
  • Tax expense increased ~200% YoY, ~+$300k impact; effective tax rate ~18% for the quarter; guidance/modeling effective tax rate ~20% going forward
  • Year-to-date (first 9 months) revenue +5% to $17.7M; operating expenses -4% to $11.7M; income from operations +28% to $6.0M; YTD diluted EPS +9% to $0.28 (from $0.26)

AI IconCapital Funding

  • Q3 buybacks: fiscal 26 repurchased 144k common shares for ~$1.8M at ~ $12.50 avg price
  • Since inception: repurchased ~2.3M common shares for ~$15M at ~ $6.60 avg cost; no treasury shares held (retired immediately)
  • Remaining authorization: ~$6.0M under existing board approval
  • Preferred redemptions: redeemed 175k preferred shares; ~161k preferred shares left outstanding
  • Cash/debt: ended quarter with ~$26.4M cash and 0 bank debt
  • Operating cash flow: first 9 months generated ~$6.0M cash from operations

AI IconStrategy & Ops

  • One-platform convergence: multiple business lines converging into a single platform with a single source code base and shared supplier list to reduce errors/costs
  • IP expansion: filed 2 additional patent applications in the quarter (touchless traceability and automated data integrity correction); now 9 US patents total
  • Touchless traceability rollout: service “now commencing,” with longer lag expected between traceability work and revenue/customer implementation
  • Modernization/automation: targeted AI initiatives to improve automation/workflow efficiency/scalability; company stated no meaningful increase in cash operating expenses or capex expected from these initiatives
  • Data quality remediation emphasis: supplier-provided data error rate cited at at least 50% and as high as 70% (wrong/incorrect data, not merely missing fields)

AI IconMarket Outlook

  • Spar Group impact timing: management expects KPIs/financial impact to show up in about 6 months (also referenced as potentially 6–9 months)
  • Traceability pipeline expectation: management expects increasing inquiries/new starts as year progresses, tied to growing traceability mandate urgency and touchless traceability commercialization

AI IconRisks & Headwinds

  • Upstream data risk: supplier data error rate 50%–70% (wrong/incorrect data) creates “infecting” risk across the supply chain without detection/correction
  • Longer traceability monetization lag: traceability revenue/customer implementation expected to lag vs other services
  • Competitive/automation skepticism: management cited grocery DC automation attempts (example given: Kroger spending ~$1–$2B) as not delivering intended outcomes, implying limits to AI/automation without “hands” for execution
  • Tax headwind: effective tax rate elevated vs prior period (~200% increase in tax expense, modeled ~20% going forward)

Q&A: Analyst Interest

  • Topic: Agentic commerce/AI relevance to food retail; Management’s detailed response: Management argued agentic commerce yields limited incremental value in grocery because the model remains people- and truck-intensive: inbound product handling, distribution-center movement, and execution depend on operational labor. They emphasized AI should focus on identifying what’s wrong and—critically—how to get it fixed rather than improved automation alone.
  • Topic: Spar Group partnership success metrics/KPIs; Management’s detailed response: Management said it’s too early to see KPIs directly because Spar execution is still early and the relationship was built only about a month prior. They expect a measurable financial impact in ~6 months (possibly 6–9 months), as the strategy shifts from diagnostic to remediation at scale.
  • Topic: Diagnostic-to-remediation model and timing for AI execution; Management’s detailed response: Management framed ReposiTrak as strong at diagnosing and near-real-time remediation signals, while Spar provides the human “hands” to execute (restock, remove updated merchandise, address recalls). They described a need to move beyond alerts, and said an initial joint presentation accelerated go-to-market interest, potentially enabling scale deals.

Sentiment: MIXED

Note: This summary was synthesized by AI from the TRAK Q3 2026 earnings transcript. Financial data is complex; please verify all metrics against official SEC filings before making investment decisions.

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© 2026 Stock Market Info — ReposiTrak, Inc. (TRAK) Financial Profile