Organogenesis Holdings (ORGO) Price to Earnings (2017 - 2025)
Organogenesis Holdings' (ORGO) Price to Earnings stood at 41.48 in Q4 2025.
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Analysis
Organogenesis Holdings (ORGO) Price to Earnings (2017 - 2025) Analysis & Trends
For FY2025, Organogenesis Holdings' Price to Earnings came in at 32.84.
- Across earlier years, Price to Earnings came in at 108.61 in FY2023 (+379.0%), 22.67 in FY2022 (+81.0%) and 12.53 in FY2021 (-77.6%).
- The Q4 2025 figure is the highest quarterly Price to Earnings since Q1 2024.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 385.0% in Q2 2023, against a decline of 78.0% in Q1 2022 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Organogenesis Holdings | 171.14 Mn | -123.76 Mn | 20.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 41.48 |
| Mar 31, 2024 | 64.73 |
| Dec 31, 2023 | 108.59 |
| Sep 30, 2023 | 32.12 |
| Jun 30, 2023 | 43.39 |
| Mar 31, 2023 | 20.74 |
| Dec 31, 2022 | 22.67 |
| Sep 30, 2022 | 7.18 |
| Jun 30, 2022 | 8.95 |
| Mar 31, 2022 | 11.78 |
| Dec 31, 2021 | 12.62 |
| Sep 30, 2021 | 30.04 |
| Jun 30, 2021 | 30.75 |
| Mar 31, 2021 | 53.67 |
| Dec 31, 2020 | 55.81 |
| Jun 30, 2017 | 298.40 |
| Mar 31, 2017 | 302.65 |
API Access
Organogenesis Holdings Price to Earnings 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=price-to-earnings&ticker=ORGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=ORGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();