Organogenesis Holdings (ORGO) Cost of Revenue (2017 - 2026)
Organogenesis Holdings (ORGO) posted Cost of Revenue of $23.67 million for Q2 2026, down 14.3% from $27.63 million a year earlier and down 8.1% from the prior quarter.
Organogenesis Holdings (ORGO) Cost of Revenue (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Organogenesis Holdings was $135.61 million, up 24.2% year-over-year; for FY2025, it came in at $137.52 million, up 18.8% from FY2024.
- Annual Cost of Revenue has increased for three consecutive years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- In prior years, Organogenesis Holdings' Cost of Revenue was $115.74 million in FY2024 (+8.7%), $106.48 million in FY2023 (+1.4%), $105.02 million in FY2022 (-8.0%) and $114.2 million in FY2021 (+30.8%).
- The Q2 2026 figure stands as the lowest quarterly Cost of Revenue since Q3 2020.
- On a year-over-year basis, Cost of Revenue increased in five of the last eight quarters, with growth averaging 10.4%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2025, with growth of 60.8%; the weakest was Q1 2025, with a decline of 17.3%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $25.77 million (Q1 2026), $49.92 million (Q4 2025) and $36.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Organogenesis Holdings | 171.14 Mn | -123.76 Mn | 20.08 Mn | 23.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.67 Mn |
| Mar 31, 2026 | 25.77 Mn |
| Dec 31, 2025 | 49.92 Mn |
| Sep 30, 2025 | 36.25 Mn |
| Jun 30, 2025 | 27.63 Mn |
| Mar 31, 2025 | 23.72 Mn |
| Dec 31, 2024 | 31.05 Mn |
| Sep 30, 2024 | 26.80 Mn |
| Jun 30, 2024 | 29.20 Mn |
| Mar 31, 2024 | 28.70 Mn |
| Dec 31, 2023 | 27.77 Mn |
| Sep 30, 2023 | 25.79 Mn |
| Jun 30, 2023 | 26.32 Mn |
| Mar 31, 2023 | 26.61 Mn |
| Dec 31, 2022 | 27.11 Mn |
| Sep 30, 2022 | 26.18 Mn |
| Jun 30, 2022 | 26.65 Mn |
| Mar 31, 2022 | 25.08 Mn |
| Dec 31, 2021 | 32.60 Mn |
| Sep 30, 2021 | 26.17 Mn |
Organogenesis Holdings Cost of Revenue 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=cost-of-revenue&ticker=ORGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ORGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();