Albemarle (ALB) Return on Sales [ROS] (2009 - 2026)
Albemarle (ALB) reported Return on Sales [ROS] of 37.79% for Q2 2026, up 34.22 percentage points from 3.57% a year earlier and up 9.33 percentage points from the prior quarter.
Albemarle (ALB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Albemarle's Return on Sales [ROS] came in at 3.51%, up 24.28 percentage points year-over-year; for FY2025, it came in at -7.14%, up 25.90 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -23.30 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -33.04% in FY2024 (-35.66 pp), 2.62% in FY2023 (-31.12 pp), 33.74% in FY2022 (+9.75 pp) and 23.99% in FY2021 (+7.83 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q1 2023.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +12.05 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2025 (a gain of 87.68 percentage points); the low point was Q3 2024 (a drop of 75.79 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 28.46% (Q1 2026), -65.43% (Q4 2025) and 5.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 61.16% |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 16.48% |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | 12.17% |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | 6.29% |
| 10 | Albemarle | 12.34 Bn | 6.33 Bn | 590.30 Mn | 37.79% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.79% |
| Mar 31, 2026 | 28.46% |
| Dec 31, 2025 | -65.43% |
| Sep 30, 2025 | 5.83% |
| Jun 30, 2025 | 3.57% |
| Mar 31, 2025 | 1.84% |
| Dec 31, 2024 | 0.36% |
| Sep 30, 2024 | -81.85% |
| Jun 30, 2024 | -34.44% |
| Mar 31, 2024 | -13.19% |
| Dec 31, 2023 | -36.07% |
| Sep 30, 2023 | -6.06% |
| Jun 30, 2023 | 5.91% |
| Mar 31, 2023 | 42.70% |
| Dec 31, 2022 | 31.78% |
| Sep 30, 2022 | 42.59% |
| Jun 30, 2022 | 29.34% |
| Mar 31, 2022 | 27.66% |
| Dec 31, 2021 | -3.50% |
| Sep 30, 2021 | 15.84% |
Albemarle Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ALB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ALB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();