Autoliv (ALV) Accumulated Expenses (2009 - 2026)
Autoliv's Accumulated Expenses came in at $1.13 billion for Q2 2026, down 0.7% from $1.14 billion a year earlier but up 10.4% from the prior quarter.
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Analysis
Autoliv (ALV) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Autoliv's Accumulated Expenses was $1.05 billion, down 0.6% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $1.06 billion in FY2024 (-7.0%), $1.14 billion in FY2023 (+24.0%), $915 million in FY2022 (-7.3%) and $987 million in FY2021 (-21.7%).
- The five-year range for quarterly Accumulated Expenses is $915 million (Q4 2022) to $1.19 billion (Q3 2024).
- Year-over-year, Accumulated Expenses has declined for four consecutive quarters, with an average decline of 1.1% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2023 (growth of 24.0%), and the weakest in Q4 2021 (a decline of 21.7%).
- Business Quant data shows ALV's Accumulated Expenses at $1.02 billion (Q1 2026), $1.05 billion (Q4 2025) and $1.17 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Autoliv | 8.20 Bn | 6.66 Bn | 509.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Bn |
| Mar 31, 2026 | 1.02 Bn |
| Dec 31, 2025 | 1.05 Bn |
| Sep 30, 2025 | 1.17 Bn |
| Jun 30, 2025 | 1.14 Bn |
| Mar 31, 2025 | 1.05 Bn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 1.19 Bn |
| Jun 30, 2024 | 1.12 Bn |
| Mar 31, 2024 | 1.13 Bn |
| Dec 31, 2023 | 1.14 Bn |
| Sep 30, 2023 | 1.09 Bn |
| Jun 30, 2023 | 1.12 Bn |
| Mar 31, 2023 | 969.00 Mn |
| Dec 31, 2022 | 915.00 Mn |
| Sep 30, 2022 | 965.00 Mn |
| Jun 30, 2022 | 944.00 Mn |
| Mar 31, 2022 | 1.05 Bn |
| Dec 31, 2021 | 987.00 Mn |
| Sep 30, 2021 | 1.10 Bn |
API Access
Autoliv Accumulated 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=accumulated-expenses&ticker=ALV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();