Autoliv (ALV) Other Accumulated Expenses (2009 - 2026)
Autoliv's Other Accumulated Expenses was $394 million in Q2 2026, down 8.4% from $430 million a year earlier but up 2.1% from the prior quarter.
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Analysis
Autoliv (ALV) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Autoliv came in at $404 million, down 10.4% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $451 million in FY2024 (+102.2%), $223 million in FY2023 (+7.7%), $207 million in FY2022 (-4.2%) and $216 million in FY2021 (+15.5%).
- Quarterly Other Accumulated Expenses has moved between $207 million (Q4 2022) and $451 million (Q4 2024) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in six of the last eight quarters, with growth averaging 22.2%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q4 2024 (growth of 102.2%); the worst was Q1 2022 (a decline of 21.2%).
- Per Business Quant data, ALV's Other Accumulated Expenses in the three quarters before Q2 2026 was $386 million (Q1 2026), $404 million (Q4 2025) and $383 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn |
| 10 | Autoliv | 8.19 Bn | 6.66 Bn | 509.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 394.00 Mn |
| Mar 31, 2026 | 386.00 Mn |
| Dec 31, 2025 | 404.00 Mn |
| Sep 30, 2025 | 383.00 Mn |
| Jun 30, 2025 | 430.00 Mn |
| Mar 31, 2025 | 327.00 Mn |
| Dec 31, 2024 | 451.00 Mn |
| Sep 30, 2024 | 297.00 Mn |
| Jun 30, 2024 | 312.00 Mn |
| Mar 31, 2024 | 323.00 Mn |
| Dec 31, 2023 | 223.00 Mn |
| Sep 30, 2023 | 274.00 Mn |
| Jun 30, 2023 | 274.00 Mn |
| Mar 31, 2023 | 258.00 Mn |
| Dec 31, 2022 | 207.00 Mn |
| Sep 30, 2022 | 263.00 Mn |
| Jun 30, 2022 | 218.00 Mn |
| Mar 31, 2022 | 253.00 Mn |
| Dec 31, 2021 | 216.00 Mn |
| Sep 30, 2021 | 237.00 Mn |
API Access
Autoliv Other 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=other-accumulated-expenses&ticker=ALV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();