QHSLab (USAQ) Operating Expenses (2010 - 2025)
QHSLab (USAQ) recorded Operating Expenses of $452,753 in Q4 2025, up 33.5% from $339,077 a year earlier and up 13.9% from the prior quarter.
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Analysis
QHSLab (USAQ) Operating Expenses (2010 - 2025) Analysis & Trends
For FY2025, QHSLab reported Operating Expenses of $1.68 million, up 45.8% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 38.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.15 million in FY2024 (+11.5%), $1.03 million in FY2023 (-12.4%), $1.18 million in FY2022 (+0.6%) and $1.17 million in FY2021 (+260.7%).
- The Q4 2025 figure is the highest quarterly Operating Expenses since Q3 2015.
- On a year-over-year basis, Operating Expenses has increased for seven consecutive quarters, with growth averaging 30.1% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 464.8% in Q2 2021, against a decline of 31.7% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $397,380 (Q3 2025), $387,489 (Q2 2025) and $441,983 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 51.89 Bn | 24.13 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 24.39 Bn | 21.16 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.15 Bn | 20.97 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 18.79 Bn | 11.45 Bn | 516.00 Mn | 364.00 Mn |
| 6 | Trimble | 14.24 Bn | 13.30 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Manhattan Associates | 13.49 Bn | 12.49 Bn | 168.33 Mn | 231.56 Mn |
| 8 | Costar | 13.22 Bn | 7.17 Bn | 728.00 Mn | 652.00 Mn |
| 9 | Bentley Systems | 11.77 Bn | 11.23 Bn | 336.74 Mn | 248.13 Mn |
| 10 | QHSLab | 3.50 Mn | 2.48 Mn | 488,259.00 | 452,753.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 452,753.00 |
| Sep 30, 2025 | 397,380.00 |
| Jun 30, 2025 | 387,489.00 |
| Mar 31, 2025 | 441,983.00 |
| Dec 31, 2024 | 339,077.00 |
| Sep 30, 2024 | 276,043.00 |
| Jun 30, 2024 | 264,478.00 |
| Mar 31, 2024 | 272,554.00 |
| Dec 31, 2023 | 238,338.00 |
| Sep 30, 2023 | 224,743.00 |
| Jun 30, 2023 | 262,584.00 |
| Mar 31, 2023 | 308,100.00 |
| Dec 31, 2022 | 280,716.00 |
| Sep 30, 2022 | 329,018.00 |
| Jun 30, 2022 | 320,508.00 |
| Mar 31, 2022 | 249,815.00 |
| Dec 31, 2021 | 282,118.00 |
| Sep 30, 2021 | 369,198.00 |
| Jun 30, 2021 | 311,854.00 |
| Mar 31, 2021 | 209,836.00 |
API Access
QHSLab Operating Expenses 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=operating-expenses&ticker=USAQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=USAQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();