QHSLab (USAQ) Shares Outstanding (Diluted) (2022 - 2026)
QHSLab's Weighted Average Shares Outstanding (Diluted) was 15.03 million in Q1 2026, up 34.3% from 11.19 million a year earlier but down 22.3% from the prior quarter.
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Analysis
QHSLab (USAQ) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at QHSLab came in at 19.34 million, up 88.0% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now increased for three consecutive years, with a three-year compound annual growth rate of 29.1% (FY2022 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 10.29 million in FY2024 (+9.3%), 9.42 million in FY2023 (+4.7%) and 9 million in FY2022.
- Quarterly Weighted Average Shares Outstanding (Diluted) has moved between 8.8 million (Q2 2022) and 19.34 million (Q4 2025) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for 12 straight quarters, with growth averaging 33.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding (Diluted) ranged from 2.7% (Q3 2023) to 99.0% (Q3 2024).
- Per Business Quant data, USAQ's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q1 2026 was 19.34 million (Q4 2025), 19.33 million (Q3 2025) and 11.28 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 165.06 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 590.46 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 114.98 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 592.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 59.00 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 317.69 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 233.20 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 401.90 Mn |
| 10 | QHSLab | 4.81 Mn | 3.49 Mn | 470,803.00 | 15.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 15.03 Mn |
| Dec 31, 2025 | 19.34 Mn |
| Sep 30, 2025 | 19.33 Mn |
| Jun 30, 2025 | 11.28 Mn |
| Mar 31, 2025 | 11.19 Mn |
| Dec 31, 2024 | 10.29 Mn |
| Sep 30, 2024 | 18.54 Mn |
| Jun 30, 2024 | 10.22 Mn |
| Mar 31, 2024 | 9.88 Mn |
| Dec 31, 2023 | 9.42 Mn |
| Sep 30, 2023 | 9.32 Mn |
| Jun 30, 2023 | 9.32 Mn |
| Mar 31, 2023 | 9.32 Mn |
| Dec 31, 2022 | 9.00 Mn |
| Sep 30, 2022 | 9.07 Mn |
| Jun 30, 2022 | 8.80 Mn |
API Access
QHSLab Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=USAQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=USAQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();