Organogenesis Holdings (ORGO) EBITDA (2018 - 2026)
Organogenesis Holdings (ORGO) recorded EBITDA of -$46.89 million in Q2 2026, compared with -$8 million a year earlier.
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Analysis
Organogenesis Holdings (ORGO) EBITDA (2018 - 2026) Analysis & Trends
On a TTM basis, Organogenesis Holdings' EBITDA came in at -$12.15 million as of Jun 30, 2026; for FY2025, it was $63.29 million, up 302.0% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $15.74 million in FY2024 (-43.6%), $27.89 million in FY2023 (-15.6%), $33.03 million in FY2022 (-60.2%) and $82.95 million in FY2021 (+137.8%).
- Quarterly EBITDA has ranged from -$59.01 million in Q1 2026 to $68.15 million in Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in three of the last four quarters, with growth averaging 223.4%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 398.4% in Q4 2024, against a decline of 83.6% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -$59.01 million (Q1 2026), $68.15 million (Q4 2025) and $25.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Organogenesis Holdings | 177.57 Mn | -117.33 Mn | 20.08 Mn | -46.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -46.89 Mn |
| Mar 31, 2026 | -59.01 Mn |
| Dec 31, 2025 | 68.15 Mn |
| Sep 30, 2025 | 25.60 Mn |
| Jun 30, 2025 | -8.00 Mn |
| Mar 31, 2025 | -22.46 Mn |
| Dec 31, 2024 | 14.67 Mn |
| Sep 30, 2024 | 10.65 Mn |
| Jun 30, 2024 | -9.69 Mn |
| Mar 31, 2024 | 121,000.00 |
| Dec 31, 2023 | 2.94 Mn |
| Sep 30, 2023 | 11.82 Mn |
| Jun 30, 2023 | 13.20 Mn |
| Mar 31, 2023 | -77,000.00 |
| Dec 31, 2022 | 11.45 Mn |
| Sep 30, 2022 | 4.46 Mn |
| Jun 30, 2022 | 14.68 Mn |
| Mar 31, 2022 | 2.44 Mn |
| Dec 31, 2021 | 22.75 Mn |
| Sep 30, 2021 | 19.44 Mn |
API Access
Organogenesis Holdings EBITDA 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=ebitda&ticker=ORGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ORGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();