Constellium Se (CSTM) Accumulated Expenses (2023 - 2026)
Constellium Se's Accumulated Expenses was $445 million in Q2 2026, up 5.2% from $423 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Constellium Se (CSTM) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Constellium Se came in at $452 million, up 29.1% from FY2024.
- In earlier years, Accumulated Expenses was $350 million in FY2024 (-9.3%) and $386 million in FY2023.
- Quarterly Accumulated Expenses has moved between $350 million (Q4 2024) and $452 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with growth averaging 9.1% over the last four quarters.
- Per Business Quant data, CSTM's Accumulated Expenses in the three quarters before Q2 2026 was $444 million (Q1 2026), $452 million (Q4 2025) and $436 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Constellium Se | 3.28 Bn | 2.74 Bn | 480.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 445.00 Mn |
| Mar 31, 2026 | 444.00 Mn |
| Dec 31, 2025 | 452.00 Mn |
| Sep 30, 2025 | 436.00 Mn |
| Jun 30, 2025 | 423.00 Mn |
| Mar 31, 2025 | 398.00 Mn |
| Dec 31, 2024 | 350.00 Mn |
| Dec 31, 2023 | 386.00 Mn |
API Access
Constellium Se Accumulated Expenses 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=accumulated-expenses&ticker=CSTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();