Curis (CRIS) Property, Plant & Equipment (Net) (2010 - 2026)
Curis' Property, Plant & Equipment (Net) came in at $46,000 for Q2 2026, down 64.6% from $130,000 a year earlier and down 14.8% from the prior quarter.
Curis (CRIS) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Curis' Property, Plant & Equipment (Net) was $62,000, down 73.2% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last three years, with a five-year compound annual growth rate of -37.7% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $231,000 in FY2024 (-46.8%), $434,000 in FY2023 (-37.0%), $689,000 in FY2022 (+36.4%) and $505,000 in FY2021 (-23.8%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Year-over-year, Property, Plant & Equipment (Net) has declined for 13 consecutive quarters, with an average decline of 59.4% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q3 2022 (growth of 43.6%), and the weakest in Q4 2025 (a decline of 73.2%).
- Business Quant data shows CRIS's Property, Plant & Equipment (Net) at $54,000 (Q1 2026), $62,000 (Q4 2025) and $98,000 (Q3 2025) in the three quarters before Q2 2026.
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 | Curis | 1.56 Mn | -32.63 Mn | - | 46,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46,000.00 |
| Mar 31, 2026 | 54,000.00 |
| Dec 31, 2025 | 62,000.00 |
| Sep 30, 2025 | 98,000.00 |
| Jun 30, 2025 | 130,000.00 |
| Mar 31, 2025 | 172,000.00 |
| Dec 31, 2024 | 231,000.00 |
| Sep 30, 2024 | 246,000.00 |
| Jun 30, 2024 | 308,000.00 |
| Mar 31, 2024 | 370,000.00 |
| Dec 31, 2023 | 434,000.00 |
| Sep 30, 2023 | 497,000.00 |
| Jun 30, 2023 | 561,000.00 |
| Mar 31, 2023 | 625,000.00 |
| Dec 31, 2022 | 689,000.00 |
| Sep 30, 2022 | 780,000.00 |
| Jun 30, 2022 | 789,000.00 |
| Mar 31, 2022 | 479,000.00 |
| Dec 31, 2021 | 505,000.00 |
| Sep 30, 2021 | 543,000.00 |
Curis 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=CRIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CRIS", "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=CRIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();