Constellium Se (CSTM) Property, Plant & Equipment (Net) (2016 - 2026)
Constellium Se's Property, Plant & Equipment (Net) was $2.48 billion in Q2 2026, down 3.2% from $2.56 billion a year earlier and down 1.7% from the prior quarter.
Constellium Se (CSTM) Property, Plant & Equipment (Net) (2016 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Constellium Se came in at $2.59 billion, up 7.4% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $2.41 billion in FY2024 (-0.6%), $2.42 billion in FY2023 (+13.9%), $2.13 billion in FY2022 (-4.6%) and $2.23 billion in FY2021 (-1.9%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q1 2025.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in four of the last five quarters, with growth averaging 6.1%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q2 2025 (growth of 14.2%); the worst was Q4 2022 (a decline of 7.7%).
- Per Business Quant data, CSTM's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $2.52 billion (Q1 2026), $2.59 billion (Q4 2025) and $2.57 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Constellium Se | 3.31 Bn | 2.77 Bn | 480.00 Mn | 2.48 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.48 Bn |
| Mar 31, 2026 | 2.52 Bn |
| Dec 31, 2025 | 2.59 Bn |
| Sep 30, 2025 | 2.57 Bn |
| Jun 30, 2025 | 2.56 Bn |
| Mar 31, 2025 | 2.46 Bn |
| Dec 31, 2024 | 2.41 Bn |
| Jun 30, 2024 | 2.24 Bn |
| Dec 31, 2023 | 2.20 Bn |
| Jun 30, 2023 | 2.17 Bn |
| Dec 31, 2022 | 2.06 Bn |
| Jun 30, 2022 | 2.13 Bn |
| Dec 31, 2021 | 2.23 Bn |
| Jun 30, 2021 | 2.28 Bn |
| Dec 31, 2020 | 2.27 Bn |
| Jun 30, 2020 | 2.24 Bn |
| Dec 31, 2019 | 2.28 Bn |
| Jun 30, 2019 | 2.23 Bn |
| Dec 31, 2018 | 1.90 Bn |
| Jun 30, 2018 | 1.84 Bn |
Constellium Se 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=CSTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CSTM", "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=CSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();