ArcelorMittal (AMSYF) Price to Book (2009 - 2026)
ArcelorMittal's (AMSYF) Price to Book stood at 0.81 in Q2 2026, up 87.7% from 0.43 a year earlier and up 16.6% from the prior quarter.
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Analysis
ArcelorMittal (AMSYF) Price to Book (2009 - 2026) Analysis & Trends
For FY2025, ArcelorMittal's Price to Book came in at 0.61, up 77.0% from FY2024.
- Across earlier years, Price to Book came in at 0.35 in FY2024 (-16.4%), 0.41 in FY2023 (+10.1%), 0.38 in FY2022 (-33.3%) and 0.56 in FY2021 (-8.2%).
- The Q2 2026 figure is the highest quarterly Price to Book since Q2 2010.
- On a year-over-year basis, Price to Book has increased for six consecutive quarters, with growth averaging 34.8% over the last eight quarters.
- Peak year-over-year performance for Price to Book in the last five years was growth of 87.7% in Q2 2026, against a decline of 49.7% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 0.69 (Q1 2026), 0.61 (Q4 2025) and 0.49 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.94 |
| Jun 30, 2026 | 0.84 |
| Mar 31, 2026 | 0.72 |
| Dec 31, 2025 | 0.64 |
| Sep 30, 2025 | 0.51 |
| Jun 30, 2025 | 0.45 |
| Mar 31, 2025 | 0.43 |
| Dec 31, 2024 | 0.36 |
| Sep 30, 2024 | 0.40 |
| Jun 30, 2024 | 0.36 |
| Mar 31, 2024 | 0.42 |
| Dec 31, 2023 | 0.43 |
| Sep 30, 2023 | 0.36 |
| Jun 30, 2023 | 0.40 |
| Mar 31, 2023 | 0.45 |
| Dec 31, 2022 | 0.40 |
| Sep 30, 2022 | 0.35 |
| Jun 30, 2022 | 0.38 |
| Mar 31, 2022 | 0.54 |
| Dec 31, 2021 | 0.59 |
API Access
ArcelorMittal Price to Book 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=price-to-book&ticker=AMSYF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=AMSYF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();