Autoliv (ALV) Change in Accured Expenses (2024 - 2026)
Autoliv's Change in Accured Expenses was $106 million in Q2 2026, up 49.3% from $71 million a year earlier.
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Analysis
Autoliv (ALV) Change in Accured Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Autoliv's Change in Accured Expenses was $21 million through Jun 30, 2026, down 38.2% year-over-year; for FY2025, it came in at -$30 million.
- In earlier years, Change in Accured Expenses was -$12 million in FY2024, $172 million in FY2023 (-71.1%), $596 million in FY2022 and -$314 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Change in Accured Expenses in data going back to Q1 2024.
- Per Business Quant data, ALV's Change in Accured Expenses in the three quarters before Q2 2026 was -$30 million (Q1 2026), -$147 million (Q4 2025) and $92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 1.94 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | - |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 19.87 Mn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | -839.67 Mn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | - |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 1.78 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 190.00 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 | 106.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.00 Mn |
| Mar 31, 2026 | -30.00 Mn |
| Dec 31, 2025 | -147.00 Mn |
| Sep 30, 2025 | 92.00 Mn |
| Jun 30, 2025 | 71.00 Mn |
| Mar 31, 2025 | -46.00 Mn |
| Dec 31, 2024 | 11.00 Mn |
| Sep 30, 2024 | -2.00 Mn |
| Jun 30, 2024 | 52.00 Mn |
| Mar 31, 2024 | -73.00 Mn |
API Access
Autoliv Change in Accured 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=change-in-accured-expenses&ticker=ALV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();