ReposiTrak (TRAK) Total Liabilities (2011 - 2026)
ReposiTrak (TRAK) recorded Total Liabilities of $8.57 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 47.5% from $5.81 million a year earlier.
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Analysis
ReposiTrak (TRAK) Total Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, ReposiTrak's Total Liabilities history includes 58 quarters.
- Annual Total Liabilities has increased for three straight fiscal years, though with a five-year compound annual growth rate of -2.9% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $5.81 million in FY2025 (+22.5%), $4.74 million in FY2024 (+0.9%), $4.7 million in FY2023 (-26.8%) and $6.42 million in FY2022 (-35.2%).
- The fiscal Q4 2026 figure is the highest quarterly Total Liabilities since fiscal Q4 2021.
- On a year-over-year basis, Total Liabilities rose in six of the last seven quarters, with growth averaging 22.0%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 55.9% in fiscal Q1 2023, against a decline of 68.6% in fiscal Q1 2022 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 51.55 Bn | 23.79 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 24.79 Bn | 21.56 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn | 3.04 Bn |
| 5 | Toast | 18.88 Bn | 11.55 Bn | 516.00 Mn | 1.14 Bn |
| 6 | Trimble | 14.47 Bn | 13.54 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Manhattan Associates | 13.68 Bn | 12.67 Bn | 168.33 Mn | 541.14 Mn |
| 8 | Costar | 13.35 Bn | 7.30 Bn | 728.00 Mn | 2.19 Bn |
| 9 | Bentley Systems | 11.88 Bn | 11.34 Bn | 336.74 Mn | 2.38 Bn |
| 10 | ReposiTrak | 132.54 Mn | 19.21 Mn | - | 8.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.57 Mn |
| Dec 31, 2025 | 6.59 Mn |
| Sep 30, 2025 | 5.44 Mn |
| Jun 30, 2025 | 5.81 Mn |
| Mar 31, 2025 | 5.91 Mn |
| Dec 31, 2024 | 6.80 Mn |
| Sep 30, 2024 | 4.81 Mn |
| Jun 30, 2024 | 4.74 Mn |
| Mar 31, 2024 | 4.86 Mn |
| Dec 31, 2023 | 4.59 Mn |
| Sep 30, 2023 | 4.61 Mn |
| Jun 30, 2023 | 4.70 Mn |
| Mar 31, 2023 | 4.36 Mn |
| Dec 31, 2022 | 4.59 Mn |
| Sep 30, 2022 | 5.52 Mn |
| Jun 30, 2022 | 6.42 Mn |
| Mar 31, 2022 | 6.87 Mn |
| Dec 31, 2021 | 4.80 Mn |
| Sep 30, 2021 | 3.54 Mn |
| Jun 30, 2021 | 9.91 Mn |
API Access
ReposiTrak Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=TRAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TRAK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=TRAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();