Standard Biotools (LAB) Shares Outstanding (Diluted) (2019 - 2026)
Standard Biotools (LAB) recorded Shares Outstanding (Diluted) of 390.88 million in Q2 2026, up 2.7% from 380.5 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Standard Biotools (LAB) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Standard Biotools reported Shares Outstanding (Diluted) of 381.62 million, up 8.0% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for six straight years, with a five-year compound annual growth rate of 39.6% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) 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 Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2019.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 23 consecutive quarters, with growth averaging 95.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 0.3% (Q3 2023) to 373.3% (Q2 2024).
- Per Business Quant, the preceding three quarters came in at 388.2 million (Q1 2026), 381.62 million (Q4 2025) and 382.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 275.16 Mn |
| 10 | Standard Biotools | 290.17 Mn | -1.02 Bn | 10.54 Mn | 390.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 76.30 Mn |
API Access
Standard Biotools 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=LAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=LAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();