QHSLab (USAQ) Operating Expenses (2010 - 2026)
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Analysis
QHSLab (USAQ) Operating Expenses (2010 - 2026) Analysis & Trends
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 | 49.54 Bn | 21.79 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 24.56 Bn | 21.33 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.41 Bn | 21.23 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 20.08 Bn | 12.72 Bn | 543.00 Mn | 378.00 Mn |
| 6 | Manhattan Associates | 14.70 Bn | 13.76 Bn | 174.30 Mn | 225.19 Mn |
| 7 | Bentley Systems | 13.97 Bn | 13.44 Bn | 349.55 Mn | 226.93 Mn |
| 8 | Trimble | 12.78 Bn | 11.87 Bn | 659.10 Mn | 517.10 Mn |
| 9 | Costar | 12.27 Bn | 7.66 Bn | 741.00 Mn | 657.00 Mn |
| 10 | QHSLab | 4.81 Mn | 3.49 Mn | 470,803.00 | 565,183.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 565,183.00 |
| 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 |
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();