Autoliv (ALV) Total Non-Current Liabilities (2009 - 2026)
Autoliv (ALV) reported Total Non-Current Liabilities of $2.1 billion for Q2 2026, up 19.1% from $1.76 billion a year earlier but down 0.8% from the prior quarter.
Autoliv (ALV) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Autoliv posted Total Non-Current Liabilities of $2.14 billion, up 13.4% from FY2024.
- Total Non-Current Liabilities has increased for three consecutive years, though with a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.89 billion in FY2024 (+9.1%), $1.73 billion in FY2023 (+19.2%), $1.45 billion in FY2022 (-29.9%) and $2.07 billion in FY2021 (-20.1%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $1.39 billion in Q3 2022 and a high of $2.22 billion in Q1 2024.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 4.9% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2024 (growth of 19.7%); the low point was Q2 2022 (a decline of 35.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.12 billion (Q1 2026), $2.14 billion (Q4 2025) and $1.76 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 3.42 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 5.63 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 5.36 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 122.27 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 219.21 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 8.76 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 74.97 Bn |
| 10 | Autoliv | 8.20 Bn | 6.66 Bn | 509.00 Mn | 2.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Bn |
| Mar 31, 2026 | 2.12 Bn |
| Dec 31, 2025 | 2.14 Bn |
| Sep 30, 2025 | 1.76 Bn |
| Jun 30, 2025 | 1.76 Bn |
| Mar 31, 2025 | 1.95 Bn |
| Dec 31, 2024 | 1.89 Bn |
| Sep 30, 2024 | 1.97 Bn |
| Jun 30, 2024 | 1.91 Bn |
| Mar 31, 2024 | 2.22 Bn |
| Dec 31, 2023 | 1.73 Bn |
| Sep 30, 2023 | 1.65 Bn |
| Jun 30, 2023 | 1.65 Bn |
| Mar 31, 2023 | 2.02 Bn |
| Dec 31, 2022 | 1.45 Bn |
| Sep 30, 2022 | 1.39 Bn |
| Jun 30, 2022 | 1.41 Bn |
| Mar 31, 2022 | 2.02 Bn |
| Dec 31, 2021 | 2.07 Bn |
| Sep 30, 2021 | 2.13 Bn |
Autoliv Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ALV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ALV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();