Standard Biotools (LAB) Shares Outstanding (2009 - 2026)
Standard Biotools (LAB) recorded Weighted Average Shares Outstanding of 393.56 million in Q3 2026, up 2.9% from 382.63 million a year earlier and up 0.7% from the prior quarter.
Standard Biotools (LAB) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Standard Biotools reported Weighted Average Shares Outstanding of 381.62 million, up 8.0% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for 16 straight years, with a five-year compound annual growth rate of 39.6% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 353.25 million in FY2024 (+346.2%), 79.16 million in FY2023 (+1.1%), 78.31 million in FY2022 (+3.3%) and 75.79 million in FY2021 (+5.2%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q2 2010.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 62 consecutive quarters, with growth averaging 49.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 0.3% in Q3 2023 to 373.3% in Q2 2024.
- Per Business Quant, the preceding three quarters came in at 390.88 million (Q2 2026), 388.2 million (Q1 2026) and 381.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 370.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 1.73 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 703.80 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 349.00 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 382.20 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 576.30 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 876.47 Mn |
| 10 | Standard Biotools | 280.22 Mn | -1.30 Bn | 10.83 Mn | 393.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 393.56 Mn |
| Jun 30, 2026 | 390.88 Mn |
| Mar 31, 2026 | 388.20 Mn |
| Dec 31, 2025 | 381.62 Mn |
| Sep 30, 2025 | 382.63 Mn |
| Jun 30, 2025 | 380.50 Mn |
| Mar 31, 2025 | 378.23 Mn |
| Dec 31, 2024 | 353.25 Mn |
| Sep 30, 2024 | 371.54 Mn |
| Jun 30, 2024 | 372.33 Mn |
| Mar 31, 2024 | 294.13 Mn |
| Dec 31, 2023 | 79.16 Mn |
| Sep 30, 2023 | 79.15 Mn |
| Jun 30, 2023 | 78.67 Mn |
| Mar 31, 2023 | 79.08 Mn |
| Dec 31, 2022 | 78.31 Mn |
| Sep 30, 2022 | 78.90 Mn |
| Jun 30, 2022 | 77.82 Mn |
| Mar 31, 2022 | 77.03 Mn |
| Dec 31, 2021 | 75.79 Mn |
Standard Biotools 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=LAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "LAB", "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=LAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();