Cellectis (CLLS) Property, Plant & Equipment (Net) (2013 - 2026)
Cellectis' Property, Plant & Equipment (Net) was $34.8 million in Q2 2026, down 18.7% from $42.79 million a year earlier and down 7.0% from the prior quarter.
Cellectis (CLLS) Property, Plant & Equipment (Net) (2013 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Cellectis came in at $38.79 million, down 15.5% from FY2024.
- Property, Plant & Equipment (Net) has now declined for four consecutive years, with a five-year compound annual growth rate of -11.6% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $45.9 million in FY2024 (-16.1%), $54.68 million in FY2023 (-14.1%), $63.62 million in FY2022 (-19.3%) and $78.85 million in FY2021 (+10.0%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q4 2019.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for 17 straight quarters, with an average decline of 15.7% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2021 (growth of 25.7%); the worst was Q2 2023 (a decline of 22.6%).
- Per Business Quant data, CLLS's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $37.4 million (Q1 2026), $38.79 million (Q4 2025) and $41.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 23.58 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 19.03 Bn |
| 10 | Cellectis | 143.49 Mn | -609.91 Mn | - | 34.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.80 Mn |
| Mar 31, 2026 | 37.40 Mn |
| Dec 31, 2025 | 38.79 Mn |
| Sep 30, 2025 | 41.20 Mn |
| Jun 30, 2025 | 42.79 Mn |
| Mar 31, 2025 | 44.45 Mn |
| Dec 31, 2024 | 45.90 Mn |
| Sep 30, 2024 | 48.96 Mn |
| Jun 30, 2024 | 50.37 Mn |
| Mar 31, 2024 | 52.05 Mn |
| Dec 31, 2023 | 54.68 Mn |
| Sep 30, 2023 | 56.77 Mn |
| Jun 30, 2023 | 59.23 Mn |
| Mar 31, 2023 | 61.71 Mn |
| Dec 31, 2022 | 63.62 Mn |
| Sep 30, 2022 | 70.76 Mn |
| Jun 30, 2022 | 76.52 Mn |
| Mar 31, 2022 | 76.52 Mn |
| Dec 31, 2021 | 78.85 Mn |
| Sep 30, 2021 | 80.54 Mn |
Cellectis 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=CLLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CLLS", "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=CLLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();