Biolife Solutions (BLFS) Shares Outstanding (Diluted) (2011 - 2026)
Biolife Solutions' Shares Outstanding (Diluted) was 49.29 million in Q2 2026, up 3.1% from 47.8 million a year earlier and up 0.1% from the prior quarter.
Biolife Solutions (BLFS) Shares Outstanding (Diluted) (2011 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Biolife Solutions came in at 48.65 million, up 5.6% from FY2024.
- Shares Outstanding (Diluted) has now increased for nine consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 46.07 million in FY2024 (+5.4%), 43.72 million in FY2023 (+2.9%), 42.48 million in FY2022 (+10.3%) and 38.5 million in FY2021 (+21.7%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2011.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 15 straight quarters, with growth averaging 4.7% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2021 (growth of 36.8%); the worst was Q3 2022 (a decline of 1.5%).
- Per Business Quant data, BLFS's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 49.25 million (Q1 2026), 48.65 million (Q4 2025) and 48.72 million (Q3 2025).
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 | Biolife Solutions | 1.90 Bn | 1.57 Bn | 18.29 Mn | 49.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.29 Mn |
| Mar 31, 2026 | 49.25 Mn |
| Dec 31, 2025 | 48.65 Mn |
| Sep 30, 2025 | 48.72 Mn |
| Jun 30, 2025 | 47.80 Mn |
| Mar 31, 2025 | 47.13 Mn |
| Dec 31, 2024 | 46.07 Mn |
| Sep 30, 2024 | 46.18 Mn |
| Jun 30, 2024 | 46.00 Mn |
| Mar 31, 2024 | 45.43 Mn |
| Dec 31, 2023 | 43.72 Mn |
| Sep 30, 2023 | 43.57 Mn |
| Jun 30, 2023 | 43.44 Mn |
| Mar 31, 2023 | 43.03 Mn |
| Dec 31, 2022 | 42.48 Mn |
| Sep 30, 2022 | 42.65 Mn |
| Jun 30, 2022 | 42.46 Mn |
| Mar 31, 2022 | 38.50 Mn |
| Dec 31, 2021 | 38.50 Mn |
| Sep 30, 2021 | 43.30 Mn |
Biolife Solutions 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=BLFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BLFS", "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=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();