Autoliv (ALV) Return on Capital Employed [ROCE] (2010 - 2026)
Autoliv (ALV) reported Return on Capital Employed [ROCE] of 22.13% for Q2 2026, down 4.47 percentage points from 26.60% a year earlier but up 0.06 percentage points from the prior quarter.
Autoliv (ALV) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Autoliv posted Return on Capital Employed [ROCE] of 25.30%, up 3.22 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased for five consecutive years, with a five-year change of +16.45 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 22.07% in FY2024 (+4.78 pp), 17.30% in FY2023 (+0.76 pp), 16.54% in FY2022 (+3.11 pp) and 13.43% in FY2021 (+4.58 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of 12.26% in Q2 2022 and a high of 26.60% in Q2 2025.
- Year over year, Return on Capital Employed [ROCE] gained in six of the last eight quarters, with an average year-over-year change of +3.03 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2021 (a gain of 9.83 percentage points); the low point was Q2 2022 (a drop of 5.15 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 22.07% (Q1 2026), 23.47% (Q4 2025) and 25.90% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 3.95% |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 2.97% |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 2.00% |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 0.98% |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | -3.99% |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | -31.93% |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | -0.99% |
| 10 | Autoliv | 8.19 Bn | 6.66 Bn | 509.00 Mn | 22.13% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.13% |
| Mar 31, 2026 | 22.07% |
| Dec 31, 2025 | 23.47% |
| Sep 30, 2025 | 25.90% |
| Jun 30, 2025 | 26.60% |
| Mar 31, 2025 | 24.98% |
| Dec 31, 2024 | 22.14% |
| Sep 30, 2024 | 20.93% |
| Jun 30, 2024 | 19.83% |
| Mar 31, 2024 | 16.21% |
| Dec 31, 2023 | 16.73% |
| Sep 30, 2023 | 16.57% |
| Jun 30, 2023 | 14.41% |
| Mar 31, 2023 | 14.74% |
| Dec 31, 2022 | 16.97% |
| Sep 30, 2022 | 16.22% |
| Jun 30, 2022 | 12.26% |
| Mar 31, 2022 | 12.49% |
| Dec 31, 2021 | 14.35% |
| Sep 30, 2021 | 16.94% |
Autoliv Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=ALV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ALV", "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-capital-employed-%5Broce%5D&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();