Autoliv (ALV) Return on Sales [ROS] (2009 - 2026)
Autoliv (ALV) reported Return on Sales [ROS] of 9.43% for Q3 2026, down 0.44 percentage points from 9.87% a year earlier but up 2.58 percentage points from the prior quarter.
Autoliv (ALV) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Autoliv's Return on Sales [ROS] came in at 9.05%, down 1.51 percentage points year-over-year; for FY2025, it came in at 10.06%, up 0.64 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +4.93 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 9.42% in FY2024 (+2.84 pp), 6.59% in FY2023 (-0.87 pp), 7.45% in FY2022 (-0.75 pp) and 8.20% in FY2021 (+3.07 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 3.57% in Q2 2023 and a high of 13.49% in Q4 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of +0.43 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2024 (a gain of 4.88 percentage points); the low point was Q1 2022 (a drop of 4.26 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 6.85% (Q2 2026), 8.61% (Q1 2026) and 11.32% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 2.56% |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 7.19% |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 29.70% |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 2.94% |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 8.76% |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 8.39% |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | -40.88% |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 13.52% |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | -0.88% |
| 10 | Autoliv | 8.97 Bn | 7.45 Bn | 496.00 Mn | 9.43% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.43% |
| Jun 30, 2026 | 6.85% |
| Mar 31, 2026 | 8.61% |
| Dec 31, 2025 | 11.32% |
| Sep 30, 2025 | 9.87% |
| Jun 30, 2025 | 9.10% |
| Mar 31, 2025 | 9.85% |
| Dec 31, 2024 | 13.49% |
| Sep 30, 2024 | 8.85% |
| Jun 30, 2024 | 7.91% |
| Mar 31, 2024 | 7.42% |
| Dec 31, 2023 | 8.62% |
| Sep 30, 2023 | 8.94% |
| Jun 30, 2023 | 3.57% |
| Mar 31, 2023 | 5.09% |
| Dec 31, 2022 | 9.85% |
| Sep 30, 2022 | 7.43% |
| Jun 30, 2022 | 5.96% |
| Mar 31, 2022 | 6.31% |
| Dec 31, 2021 | 8.26% |
Autoliv 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=ALV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();