Constellium Se (CSTM) Operating Expenses (2017 - 2026)
Constellium Se (CSTM) reported Operating Expenses of $115 million for Q2 2026, up 15.0% from $100 million a year earlier and up 4.5% from the prior quarter.
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Analysis
Constellium Se (CSTM) Operating Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Constellium Se's Operating Expenses came in at $417 million, up 12.7% year-over-year; for FY2025, it was $699 million, up 7.0% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $653 million in FY2024 (+71.4%), $380.88 million in FY2023 (+9.5%), $347.81 million in FY2022 (+2.4%) and $339.76 million in FY2021 (+3.2%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2017.
- Year over year, Operating Expenses gained in four of the last six quarters, with growth averaging 9.6%.
- The high point for year-over-year Operating Expenses in five years was Q3 2025 (growth of 26.0%); the low point was Q2 2024 (a decline of 7.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $110 million (Q1 2026), $95 million (Q4 2025) and $97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Constellium Se | 3.34 Bn | 2.80 Bn | 480.00 Mn | 115.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.00 Mn |
| Mar 31, 2026 | 110.00 Mn |
| Dec 31, 2025 | 95.00 Mn |
| Sep 30, 2025 | 97.00 Mn |
| Jun 30, 2025 | 100.00 Mn |
| Mar 31, 2025 | 91.00 Mn |
| Dec 31, 2024 | 102.00 Mn |
| Sep 30, 2024 | 77.00 Mn |
| Jun 30, 2024 | 93.69 Mn |
| Mar 31, 2024 | 95.00 Mn |
| Jun 30, 2023 | 101.27 Mn |
| Jun 30, 2022 | 91.77 Mn |
| Jun 30, 2021 | 93.93 Mn |
| Jun 30, 2020 | 87.02 Mn |
| Jun 30, 2019 | 92.14 Mn |
| Jun 30, 2018 | 83.54 Mn |
| Jun 30, 2017 | 83.57 Mn |
API Access
Constellium Se Operating 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=operating-expenses&ticker=CSTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();