ArcelorMittal (MT) Depreciation & Amortization (CF) (2009 - 2026)
ArcelorMittal's Depreciation & Amortization (CF) was $1.64 billion in Q3 2026, up 122.3% from $736 million a year earlier and up 109.7% from the prior quarter.
ArcelorMittal (MT) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, ArcelorMittal's Depreciation & Amortization (CF) was $4.03 billion through Sep 30, 2026, up 31.2% year-over-year; for FY2025, it came in at $2.95 billion, up 11.9% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $2.63 billion in FY2024 (-1.6%), $2.68 billion in FY2023 (+3.7%), $2.58 billion in FY2022 (+2.3%) and $2.52 billion in FY2021 (-14.8%).
- The Q3 2026 figure marks the highest quarterly Depreciation & Amortization (CF) since Q4 2022.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in six of the last eight quarters, with growth averaging 22.6%.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q4 2022 (growth of 236.4%); the worst was Q4 2021 (a decline of 52.6%).
- Per Business Quant data, MT's Depreciation & Amortization (CF) in the three quarters before Q3 2026 was $780 million (Q2 2026), $749 million (Q1 2026) and $866 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 172.02 Bn | 161.79 Bn | 2.33 Bn | 326.00 Mn |
| 2 | Rio Tinto | 168.15 Bn | 130.95 Bn | - | - |
| 3 | Southern Copper | 138.51 Bn | 113.33 Bn | 3.10 Bn | 230.40 Mn |
| 4 | Rio Tinto | 134.73 Bn | 101.79 Bn | - | - |
| 5 | Newmont | 117.64 Bn | 82.96 Bn | 4.22 Bn | 632.00 Mn |
| 6 | Ternium | 99.96 Bn | 72.72 Bn | 1.04 Bn | 198.00 Mn |
| 7 | Agnico Eagle Mines | 89.22 Bn | 76.17 Bn | 2.15 Bn | 457.45 Mn |
| 8 | Freeport-Mcmoran | 85.03 Bn | 81.69 Bn | 2.55 Bn | 520.00 Mn |
| 9 | Barrick Mining | 63.01 Bn | 47.43 Bn | 2.71 Bn | 567.00 Mn |
| 10 | ArcelorMittal | 47.78 Bn | 31.28 Bn | - | 1.64 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.64 Bn |
| Jun 30, 2026 | 780.00 Mn |
| Mar 31, 2026 | 749.00 Mn |
| Dec 31, 2025 | 866.00 Mn |
| Sep 30, 2025 | 736.00 Mn |
| Jun 30, 2025 | 891.00 Mn |
| Mar 31, 2025 | 656.00 Mn |
| Dec 31, 2024 | 789.00 Mn |
| Sep 30, 2024 | 682.00 Mn |
| Jun 30, 2024 | 635.00 Mn |
| Mar 31, 2024 | 642.00 Mn |
| Dec 31, 2023 | 815.00 Mn |
| Sep 30, 2023 | 662.00 Mn |
| Jun 30, 2023 | 680.00 Mn |
| Mar 31, 2023 | 630.00 Mn |
| Dec 31, 2022 | 1.66 Bn |
| Sep 30, 2022 | 628.00 Mn |
| Jun 30, 2022 | 669.00 Mn |
| Mar 31, 2022 | 647.00 Mn |
| Dec 31, 2021 | 494.00 Mn |
ArcelorMittal Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=MT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "MT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-amortization-cf&ticker=MT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();