Autoliv (ALV) Change in Accrued Expenses (2024 - 2026)
Autoliv's Change in Accrued Expenses was $53 million in Q3 2026, down 35.4% from $82 million a year earlier and down 50.0% from the prior quarter.
Autoliv (ALV) Change in Accrued Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Autoliv's Change in Accrued Expenses was -$8 million through Sep 30, 2026; for FY2025, it came in at -$30 million.
- In earlier years, Change in Accrued Expenses was -$12 million in FY2024, $172 million in FY2023 (-71.1%), $596 million in FY2022 and -$314 million in FY2021.
- Quarterly Change in Accrued Expenses has moved between -$137 million (Q4 2025) and $106 million (Q2 2026) over five years.
- Per Business Quant data, ALV's Change in Accrued Expenses in the three quarters before Q3 2026 was $106 million (Q2 2026), -$30 million (Q1 2026) and -$137 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 3.99 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | - |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | - |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 3.34 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | -839.67 Mn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | - |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | 260.00 Mn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | - |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | - |
| 10 | Autoliv | 8.97 Bn | 7.45 Bn | 496.00 Mn | 53.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 53.00 Mn |
| Jun 30, 2026 | 106.00 Mn |
| Mar 31, 2026 | -30.00 Mn |
| Dec 31, 2025 | -137.00 Mn |
| Sep 30, 2025 | 82.00 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 |
Autoliv Change in Accrued 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_KEY
import 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();