QHSLab (USAQ) Cash & Equivalents (2019 - 2025)
QHSLab's Cash & Equivalents came in at $636,157 for Q4 2025, up 304.8% from $157,168 a year earlier and up 301.6% from the prior quarter.
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Analysis
QHSLab (USAQ) Cash & Equivalents (2019 - 2025) Analysis & Trends
Going back to Q2 2019, QHSLab's Cash & Equivalents data covers 27 quarters.
- Cash & Equivalents carries a five-year compound annual growth rate of 46.5% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $157,168 in FY2024 (+204.7%), $51,582 in FY2023 (-71.1%), $178,694 in FY2022 (-37.7%) and $286,855 in FY2021 (+204.1%).
- The Q4 2025 figure represents the highest quarterly Cash & Equivalents in data going back to Q2 2019.
- Year-over-year, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 85.7% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2022 (growth of 350.0%), and the weakest in Q3 2023 (a decline of 78.9%).
- Business Quant data shows USAQ's Cash & Equivalents at $158,391 (Q3 2025), $168,358 (Q2 2025) and $61,065 (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 351.45 Mn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | 1.02 Bn |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | 214.40 Mn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | 186.11 Mn |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | 1.27 Bn |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | 146.98 Mn |
| 10 | QHSLab | 3.50 Mn | 2.48 Mn | 488,259.00 | 636,157.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 636,157.00 |
| Sep 30, 2025 | 158,391.00 |
| Jun 30, 2025 | 168,358.00 |
| Mar 31, 2025 | 61,065.00 |
| Dec 31, 2024 | 157,168.00 |
| Sep 30, 2024 | 95,945.00 |
| Jun 30, 2024 | 104,200.00 |
| Mar 31, 2024 | 66,929.00 |
| Dec 31, 2023 | 51,582.00 |
| Sep 30, 2023 | 50,240.00 |
| Jun 30, 2023 | 108,847.00 |
| Mar 31, 2023 | 93,079.00 |
| Dec 31, 2022 | 178,694.00 |
| Sep 30, 2022 | 237,934.00 |
| Jun 30, 2022 | 97,172.00 |
| Mar 31, 2022 | 155,557.00 |
| Dec 31, 2021 | 286,855.00 |
| Sep 30, 2021 | 543,311.00 |
| Jun 30, 2021 | 145,947.00 |
| Mar 31, 2021 | 34,568.00 |
API Access
QHSLab Cash & Equivalents 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=cash-and-equivalents&ticker=USAQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=USAQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();