Albemarle (ALB) Cash from Operations (2009 - 2026)
Albemarle's Cash from Operations was $710 million in Q2 2026, compared with -$9.03 million a year earlier and up 105.1% from the prior quarter.
Albemarle (ALB) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Albemarle's Cash from Operations was $1.8 billion through Jun 30, 2026, up 136.6% year-over-year; for FY2025, it was $1.28 billion, up 86.4% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $687.88 million in FY2024 (-48.1%), $1.33 billion in FY2023 (-30.6%), $1.91 billion in FY2022 (+455.5%) and $344.26 million in FY2021 (-56.9%).
- The Q2 2026 figure marks the highest quarterly Cash from Operations since Q1 2023.
- Compared with a year earlier, Cash from Operations was higher in two of the last four quarters, with growth averaging 104.3%.
- The best year-over-year quarter for Cash from Operations over five years was Q3 2022 (growth of 754.8%); the worst was Q1 2024 (a decline of 86.5%).
- Per Business Quant data, ALB's Cash from Operations in the three quarters before Q2 2026 was $346.24 million (Q1 2026), $388.49 million (Q4 2025) and $355.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 1.99 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 2.92 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 256.00 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 2.05 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 2.14 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 1.70 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 1.40 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 961.00 Mn |
| 10 | Albemarle | 12.48 Bn | 6.47 Bn | 590.30 Mn | 710.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 710.00 Mn |
| Mar 31, 2026 | 346.24 Mn |
| Dec 31, 2025 | 388.49 Mn |
| Sep 30, 2025 | 355.60 Mn |
| Jun 30, 2025 | -9.03 Mn |
| Mar 31, 2025 | 547.21 Mn |
| Dec 31, 2024 | -4.38 Mn |
| Sep 30, 2024 | 227.11 Mn |
| Jun 30, 2024 | 367.66 Mn |
| Mar 31, 2024 | 97.49 Mn |
| Dec 31, 2023 | -96.96 Mn |
| Sep 30, 2023 | 628.85 Mn |
| Jun 30, 2023 | 73.71 Mn |
| Mar 31, 2023 | 720.98 Mn |
| Dec 31, 2022 | 956.81 Mn |
| Sep 30, 2022 | 895.29 Mn |
| Jun 30, 2022 | -145.87 Mn |
| Mar 31, 2022 | 206.18 Mn |
| Dec 31, 2021 | -146.33 Mn |
| Sep 30, 2021 | 104.73 Mn |
Albemarle Cash from Operations 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=cash-from-operations&ticker=ALB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();