Organogenesis Holdings (ORGO) Shares Outstanding (2015 - 2026)
Organogenesis Holdings' Shares Outstanding was 128.67 million in Q2 2026, up 1.4% from 126.85 million a year earlier and up 0.7% from the prior quarter.
Organogenesis Holdings (ORGO) Shares Outstanding (2015 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Organogenesis Holdings came in at 126.74 million, down 3.7% from FY2024.
- Shares Outstanding shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 131.67 million in FY2024 (+0.3%), 131.23 million in FY2023 (+0.9%), 130.07 million in FY2022 (+1.4%) and 128.33 million in FY2021 (+19.1%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding since Q4 2024.
- Compared with a year earlier, Shares Outstanding was higher in four of the last eight quarters, with an average decline of 1.6%.
- The best year-over-year quarter for Shares Outstanding over five years was Q3 2021 (growth of 22.4%); the worst was Q2 2025 (a decline of 4.3%).
- Per Business Quant data, ORGO's Shares Outstanding in the three quarters before Q2 2026 was 127.8 million (Q1 2026), 126.74 million (Q4 2025) and 126.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | 705.30 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 354.10 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 383.50 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 | 576.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 274.79 Mn |
| 10 | Organogenesis Holdings | 176.28 Mn | -118.62 Mn | 20.08 Mn | 128.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.67 Mn |
| Mar 31, 2026 | 127.80 Mn |
| Dec 31, 2025 | 126.74 Mn |
| Sep 30, 2025 | 126.88 Mn |
| Jun 30, 2025 | 126.85 Mn |
| Mar 31, 2025 | 126.30 Mn |
| Dec 31, 2024 | 131.67 Mn |
| Sep 30, 2024 | 132.58 Mn |
| Jun 30, 2024 | 132.57 Mn |
| Mar 31, 2024 | 131.86 Mn |
| Dec 31, 2023 | 131.23 Mn |
| Sep 30, 2023 | 131.31 Mn |
| Jun 30, 2023 | 131.29 Mn |
| Mar 31, 2023 | 131.08 Mn |
| Dec 31, 2022 | 130.07 Mn |
| Sep 30, 2022 | 130.90 Mn |
| Jun 30, 2022 | 129.64 Mn |
| Mar 31, 2022 | 128.79 Mn |
| Dec 31, 2021 | 128.33 Mn |
| Sep 30, 2021 | 128.55 Mn |
Organogenesis Holdings 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=ORGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "ORGO", "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=ORGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();