QHSLab (USAQ) Shares Outstanding (2011 - 2026)
QHSLab (USAQ) recorded Weighted Average Shares Outstanding of 15.03 million in Q1 2026, up 34.3% from 11.19 million a year earlier and up 33.1% from the prior quarter.
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Analysis
QHSLab (USAQ) Shares Outstanding (2011 - 2026) Analysis & Trends
For FY2025, QHSLab reported Weighted Average Shares Outstanding of 11.3 million, up 9.8% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for seven straight years, with a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 10.29 million in FY2024 (+9.3%), 9.42 million in FY2023 (+4.7%), 9 million in FY2022 (+14.5%) and 7.86 million in FY2021 (+26.8%).
- The Q1 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q3 2011.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 26 consecutive quarters, with growth averaging 13.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 2.7% (Q3 2023) to 35.3% (Q3 2021).
- Per Business Quant, the preceding three quarters came in at 11.3 million (Q4 2025), 11.28 million (Q3 2025) and 11.28 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 162.34 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 584.14 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 114.68 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 579.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 58.76 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 310.47 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 232.40 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 401.60 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 | 11.30 Mn |
| Sep 30, 2025 | 11.28 Mn |
| Jun 30, 2025 | 11.28 Mn |
| Mar 31, 2025 | 11.19 Mn |
| Dec 31, 2024 | 10.29 Mn |
| Sep 30, 2024 | 10.49 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 |
| Mar 31, 2022 | 8.78 Mn |
| Dec 31, 2021 | 7.86 Mn |
| Sep 30, 2021 | 8.65 Mn |
| Jun 30, 2021 | 7.21 Mn |
API Access
QHSLab Shares Outstanding 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&ticker=USAQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=USAQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();