QHSLab (USAQ) Total Liabilities (2010 - 2026)
QHSLab (USAQ) reported Total Liabilities of $368,005 for Q1 2026, down 83.7% from $2.26 million a year earlier and down 32.6% from the prior quarter.
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Analysis
QHSLab (USAQ) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, QHSLab posted Total Liabilities of $546,078, down 77.3% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- By year, Total Liabilities came in at $2.41 million in FY2024 (+17.0%), $2.06 million in FY2023 (+9.3%), $1.88 million in FY2022 (+35.9%) and $1.38 million in FY2021 (+52.8%).
- The Q1 2026 figure ranks as the lowest quarterly Total Liabilities since Q1 2014.
- Year over year, Total Liabilities gained in six of the last eight quarters, with an average decline of 13.6%.
- The high point for year-over-year Total Liabilities in five years was Q3 2021 (growth of 190.5%); the low point was Q1 2026 (a decline of 83.7%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $546,078 (Q4 2025), $2.35 million (Q3 2025) and $2.35 million (Q2 2025).
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 | 49.39 Bn | 21.63 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 3.04 Bn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 1.09 Bn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 550.07 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 2.29 Bn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 3.56 Bn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 2.27 Bn |
| 10 | QHSLab | 4.81 Mn | 3.49 Mn | 470,803.00 | 368,005.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 368,005.00 |
| Dec 31, 2025 | 546,078.00 |
| Sep 30, 2025 | 2.35 Mn |
| Jun 30, 2025 | 2.35 Mn |
| Mar 31, 2025 | 2.26 Mn |
| Dec 31, 2024 | 2.41 Mn |
| Sep 30, 2024 | 2.10 Mn |
| Jun 30, 2024 | 2.08 Mn |
| Mar 31, 2024 | 2.11 Mn |
| Dec 31, 2023 | 2.06 Mn |
| Sep 30, 2023 | 2.04 Mn |
| Jun 30, 2023 | 2.07 Mn |
| Mar 31, 2023 | 1.95 Mn |
| Dec 31, 2022 | 1.88 Mn |
| Sep 30, 2022 | 1.87 Mn |
| Jun 30, 2022 | 1.63 Mn |
| Mar 31, 2022 | 1.50 Mn |
| Dec 31, 2021 | 1.38 Mn |
| Sep 30, 2021 | 1.87 Mn |
| Jun 30, 2021 | 1.44 Mn |
API Access
QHSLab 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=USAQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "USAQ", "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=USAQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();