Editas Medicine (EDIT) Property, Plant & Equipment (Net) (2014 - 2026)
Editas Medicine (EDIT) posted Property, Plant & Equipment (Net) of $3.54 million for Q4 2025, down 75.6% from $14.5 million a year earlier and down 17.4% from the prior quarter.
Editas Medicine (EDIT) Property, Plant & Equipment (Net) (2014 - 2026) Analysis & Trends
Since Q4 2015, Editas Medicine has reported Property, Plant & Equipment (Net) for 41 quarters.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -24.1% (FY2020 to FY2025).
- In prior years, Editas Medicine's Property, Plant & Equipment (Net) was $14.5 million in FY2024 (+20.5%), $12.03 million in FY2023 (-22.7%), $15.57 million in FY2022 (-9.0%) and $17.12 million in FY2021 (+22.1%).
- The Q4 2025 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2015.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last four quarters, with an average decline of 23.7% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q3 2024, with growth of 33.4%; the weakest was Q4 2025, with a decline of 75.6%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $4.29 million (Q3 2025), $4.58 million (Q2 2025) and $8.18 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 32.19 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.10 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 5.94 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 25.90 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 14.06 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 8.88 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 5.95 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 19.05 Bn |
| 10 | Editas Medicine | 385.55 Mn | -286.59 Mn | 8.20 Mn | 2.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.19 Mn |
| Jun 30, 2026 | 2.57 Mn |
| Mar 31, 2026 | 2.88 Mn |
| Dec 31, 2025 | 3.54 Mn |
| Sep 30, 2025 | 4.29 Mn |
| Jun 30, 2025 | 4.58 Mn |
| Mar 31, 2025 | 8.18 Mn |
| Dec 31, 2024 | 14.50 Mn |
| Sep 30, 2024 | 15.42 Mn |
| Jun 30, 2024 | 14.16 Mn |
| Mar 31, 2024 | 13.26 Mn |
| Dec 31, 2023 | 12.03 Mn |
| Sep 30, 2023 | 11.56 Mn |
| Jun 30, 2023 | 12.85 Mn |
| Mar 31, 2023 | 13.21 Mn |
| Dec 31, 2022 | 15.57 Mn |
| Sep 30, 2022 | 15.49 Mn |
| Jun 30, 2022 | 16.20 Mn |
| Mar 31, 2022 | 17.26 Mn |
| Dec 31, 2021 | 17.12 Mn |
Editas Medicine Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=EDIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "EDIT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=EDIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();