ArcelorMittal (AMSYF) EV to CFO (2009 - 2026)
ArcelorMittal's EV to CFO was 9.05 in Q2 2026, up 115.4% from 4.20 a year earlier and up 25.3% from the prior quarter.
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Analysis
ArcelorMittal (AMSYF) EV to CFO (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, ArcelorMittal's EV to CFO was 5.72 through Jun 30, 2026, up 674.3% year-over-year; for FY2025, it was 6.48, up 139.5% from FY2024.
- EV to CFO has now increased for three consecutive years.
- In earlier years, EV to CFO was 2.71 in FY2024 (+21.5%), 2.23 in FY2023 (+69.4%), 1.32 in FY2022 (-45.8%) and 2.43 in FY2021 (-52.3%).
- The Q2 2026 figure marks the highest quarterly EV to CFO since Q4 2011.
- Compared with a year earlier, EV to CFO has increased for 13 straight quarters, with growth averaging 73.8% over the last eight quarters.
- The best year-over-year quarter for EV to CFO over five years was Q4 2025 (growth of 139.5%); the worst was Q2 2022 (a decline of 73.2%).
- Per Business Quant data, AMSYF's EV to CFO in the three quarters before Q2 2026 was 7.22 (Q1 2026), 6.48 (Q4 2025) and 5.64 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.73 |
| Jun 30, 2026 | 9.05 |
| Mar 31, 2026 | 7.22 |
| Dec 31, 2025 | 6.48 |
| Sep 30, 2025 | 5.64 |
| Jun 30, 2025 | 4.20 |
| Mar 31, 2025 | 4.12 |
| Dec 31, 2024 | 2.71 |
| Sep 30, 2024 | 3.23 |
| Jun 30, 2024 | 2.59 |
| Mar 31, 2024 | 2.91 |
| Dec 31, 2023 | 2.23 |
| Sep 30, 2023 | 2.01 |
| Jun 30, 2023 | 2.04 |
| Mar 31, 2023 | 2.21 |
| Dec 31, 2022 | 1.32 |
| Sep 30, 2022 | 1.44 |
| Jun 30, 2022 | 1.31 |
| Mar 31, 2022 | 2.37 |
| Dec 31, 2021 | 2.71 |
API Access
ArcelorMittal EV to CFO 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=ev-to-cfo&ticker=AMSYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "AMSYF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-cfo&ticker=AMSYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();