Albemarle (ALB) Depreciation & Amortization (CF) (2009 - 2026)
Albemarle's Depreciation & Amortization (CF) was $155.8 million in Q2 2026, down 7.7% from $168.73 million a year earlier and down 1.3% from the prior quarter.
Albemarle (ALB) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Albemarle's Depreciation & Amortization (CF) was $641.8 million through Jun 30, 2026, down 2.3% year-over-year; for FY2025, it was $658.68 million, up 11.9% from FY2024.
- Depreciation & Amortization (CF) has now increased for eight consecutive years, with a five-year compound annual growth rate of 23.2% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $588.64 million in FY2024 (+36.9%), $429.94 million in FY2023 (+42.9%), $300.84 million in FY2022 (+18.4%) and $254 million in FY2021 (+9.5%).
- The Q2 2026 figure marks the lowest quarterly Depreciation & Amortization (CF) since Q2 2024.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in six of the last eight quarters, with growth averaging 14.0%.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q4 2023 (growth of 68.5%); the worst was Q2 2026 (a decline of 7.7%).
- Per Business Quant data, ALB's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $157.81 million (Q1 2026), $163.71 million (Q4 2025) and $164.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 226.00 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 604.00 Mn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 194.00 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 523.00 Mn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 555.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 320.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | Albemarle | 12.48 Bn | 6.47 Bn | 590.30 Mn | 155.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.80 Mn |
| Mar 31, 2026 | 157.81 Mn |
| Dec 31, 2025 | 163.71 Mn |
| Sep 30, 2025 | 164.48 Mn |
| Jun 30, 2025 | 168.73 Mn |
| Mar 31, 2025 | 161.75 Mn |
| Dec 31, 2024 | 163.11 Mn |
| Sep 30, 2024 | 163.50 Mn |
| Jun 30, 2024 | 138.28 Mn |
| Mar 31, 2024 | 123.75 Mn |
| Dec 31, 2023 | 144.14 Mn |
| Sep 30, 2023 | 105.45 Mn |
| Jun 30, 2023 | 93.09 Mn |
| Mar 31, 2023 | 87.27 Mn |
| Dec 31, 2022 | 85.56 Mn |
| Sep 30, 2022 | 77.71 Mn |
| Jun 30, 2022 | 70.99 Mn |
| Mar 31, 2022 | 66.57 Mn |
| Dec 31, 2021 | 68.24 Mn |
| Sep 30, 2021 | 62.08 Mn |
Albemarle 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=ALB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "ALB", "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=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();