Organogenesis Holdings (ORGO) Asset Writedowns and Impairment (2024 - 2025)
Organogenesis Holdings' Asset Writedowns and Impairment came in at $1.94 million for Q4 2025, up 110.4% from the prior quarter.
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Analysis
Organogenesis Holdings (ORGO) Asset Writedowns and Impairment (2024 - 2025) Analysis & Trends
For FY2025, Organogenesis Holdings' Asset Writedowns and Impairment was $11.18 million, down 40.7% from FY2024.
- Going back by year, Asset Writedowns and Impairment was $18.84 million in FY2024.
- The five-year range for quarterly Asset Writedowns and Impairment is $922,000 (Q3 2025) to $18.84 million (Q2 2024).
- Business Quant data shows ORGO's Asset Writedowns and Impairment at $922,000 (Q3 2025), $1.75 million (Q2 2025) and $6.57 million (Q1 2025) in the three quarters before Q4 2025.
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 | 1.94 Mn |
| Sep 30, 2025 | 922,000.00 |
| Jun 30, 2025 | 1.75 Mn |
| Mar 31, 2025 | 6.57 Mn |
| Jun 30, 2024 | 18.84 Mn |
API Access
Organogenesis Holdings Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=ORGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=ORGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();