ReposiTrak (TRAK) Non-Current Debt (2011 - 2026)
ReposiTrak's Non-Current Debt came in at $61,498 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 77.9% from $278,748 a year earlier.
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Analysis
ReposiTrak (TRAK) Non-Current Debt (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, ReposiTrak's Non-Current Debt data covers 45 quarters.
- Non-Current Debt carries a three-year compound annual growth rate of -33.2% (FY2023 to FY2026).
- Going back by fiscal year, Non-Current Debt was $278,748 in FY2025 and $206,032 in FY2023.
- The fiscal Q4 2026 figure represents the lowest quarterly Non-Current Debt since fiscal Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | - |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | - |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.44 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 994.00 Mn |
| 10 | ReposiTrak | 149.43 Mn | 36.11 Mn | - | 61,498.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61,498.00 |
| Dec 31, 2025 | 170,442.00 |
| Sep 30, 2025 | 225,008.00 |
| Jun 30, 2025 | 278,748.00 |
| Mar 31, 2025 | 331,762.00 |
| Dec 31, 2024 | 384,136.00 |
| Sep 30, 2024 | 165,735.00 |
| Jun 30, 2023 | 206,032.00 |
| Dec 31, 2020 | 10,000.00 |
| Sep 30, 2020 | 440,893.00 |
| Jun 30, 2020 | 610,512.00 |
| Mar 31, 2020 | 689,527.00 |
| Dec 31, 2019 | 767,564.00 |
| Sep 30, 2019 | 844,636.00 |
| Jun 30, 2019 | 920,754.00 |
| Mar 31, 2019 | 255,054.00 |
| Dec 31, 2018 | 258,209.00 |
| Sep 30, 2018 | 267,612.00 |
| Jun 30, 2018 | 1.59 Mn |
| Mar 31, 2018 | 1.64 Mn |
API Access
ReposiTrak Non-Current Debt 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=non-current-debt&ticker=TRAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=TRAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();