Autoliv (ALV) Operating Expenses (2009 - 2026)
Autoliv (ALV) reported Operating Expenses of $260 million for Q2 2026, up 3.2% from $252 million a year earlier but down 7.5% from the prior quarter.
Powered by 
Analysis
Autoliv (ALV) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Autoliv's Operating Expenses came in at $1.03 billion, up 12.2% year-over-year; for FY2025, it was $984 million, up 6.0% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $928 million in FY2024 (+0.3%), $925 million in FY2023 (+11.4%), $830 million in FY2022 (+0.9%) and $823 million in FY2021 (+7.6%).
- Five-year quarterly Operating Expenses spans a low of $172 million in Q4 2022 and a high of $281 million in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 5.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 17.4%); the low point was Q4 2022 (a decline of 10.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $281 million (Q1 2026), $238 million (Q4 2025) and $254 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 4.35 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 78.18 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 471.42 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | -34.70 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 46.57 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 47.66 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 1.02 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 273.20 Mn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 4.85 Bn |
| 10 | Autoliv | 8.20 Bn | 6.66 Bn | 509.00 Mn | 260.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 260.00 Mn |
| Mar 31, 2026 | 281.00 Mn |
| Dec 31, 2025 | 238.00 Mn |
| Sep 30, 2025 | 254.00 Mn |
| Jun 30, 2025 | 252.00 Mn |
| Mar 31, 2025 | 240.00 Mn |
| Dec 31, 2024 | 204.00 Mn |
| Sep 30, 2024 | 225.00 Mn |
| Jun 30, 2024 | 254.00 Mn |
| Mar 31, 2024 | 245.00 Mn |
| Dec 31, 2023 | 202.00 Mn |
| Sep 30, 2023 | 226.00 Mn |
| Jun 30, 2023 | 250.00 Mn |
| Mar 31, 2023 | 248.00 Mn |
| Dec 31, 2022 | 172.00 Mn |
| Sep 30, 2022 | 211.00 Mn |
| Jun 30, 2022 | 224.00 Mn |
| Mar 31, 2022 | 222.00 Mn |
| Dec 31, 2021 | 193.00 Mn |
| Sep 30, 2021 | 199.00 Mn |
API Access
Autoliv Operating Expenses 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=operating-expenses&ticker=ALV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();