Track (TRCK) Total Liabilities (2010 - 2026)
Track (TRCK) posted Total Liabilities of $26.49 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 48.2% from $51.11 million a year earlier and down 48.9% from the prior quarter.
Track (TRCK) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Track's Total Liabilities came in at $51.85 million, up 5.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- In prior fiscal years, Track's Total Liabilities was $49.28 million in FY2024 (+1.1%), $48.74 million in FY2023 (-2.0%), $49.74 million in FY2022 (-2.8%) and $51.15 million in FY2021 (+5.1%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Total Liabilities since fiscal Q4 2013.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with an average decline of 3.6%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2026, with growth of 5.6%; the weakest was fiscal Q3 2026, with a decline of 48.2%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $51.79 million (Q2 2026), $51.54 million (Q1 2026) and $51.85 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 5.00 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 48.17 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Track | 14.88 Mn | -6.27 Mn | 4.24 Mn | 26.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.49 Mn |
| Mar 31, 2026 | 51.79 Mn |
| Dec 31, 2025 | 51.54 Mn |
| Sep 30, 2025 | 51.85 Mn |
| Jun 30, 2025 | 51.11 Mn |
| Mar 31, 2025 | 49.03 Mn |
| Dec 31, 2024 | 49.22 Mn |
| Sep 30, 2024 | 49.28 Mn |
| Jun 30, 2024 | 48.67 Mn |
| Mar 31, 2024 | 50.30 Mn |
| Dec 31, 2023 | 49.21 Mn |
| Sep 30, 2023 | 48.74 Mn |
| Jun 30, 2023 | 48.45 Mn |
| Mar 31, 2023 | 48.98 Mn |
| Dec 31, 2022 | 50.46 Mn |
| Sep 30, 2022 | 49.74 Mn |
| Jun 30, 2022 | 47.88 Mn |
| Mar 31, 2022 | 48.82 Mn |
| Dec 31, 2021 | 50.42 Mn |
| Sep 30, 2021 | 51.15 Mn |
Track 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=TRCK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TRCK", "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=TRCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();