Aptiv (APTV) Total Non-Current Liabilities (2011 - 2026)
Aptiv's Total Non-Current Liabilities was $6.27 billion in Q2 2026, down 32.0% from $9.22 billion a year earlier and down 40.9% from the prior quarter.
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Analysis
Aptiv (APTV) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Aptiv came in at $8.88 billion, down 3.9% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $9.24 billion in FY2024 (+18.9%), $7.78 billion in FY2023 (-1.9%), $7.93 billion in FY2022 (+51.3%) and $5.24 billion in FY2021 (-2.5%).
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2021.
- Compared with a year earlier, Total Non-Current Liabilities was higher in five of the last eight quarters, with growth averaging 11.3%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2022 (growth of 51.3%); the worst was Q2 2026 (a decline of 32.0%).
- Per Business Quant data, APTV's Total Non-Current Liabilities in the three quarters before Q2 2026 was $10.61 billion (Q1 2026), $8.88 billion (Q4 2025) and $9.05 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Aptiv | 9.10 Bn | 1.95 Bn | 775.00 Mn | 6.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.27 Bn |
| Mar 31, 2026 | 10.61 Bn |
| Dec 31, 2025 | 8.88 Bn |
| Sep 30, 2025 | 9.05 Bn |
| Jun 30, 2025 | 9.22 Bn |
| Mar 31, 2025 | 9.05 Bn |
| Dec 31, 2024 | 9.24 Bn |
| Sep 30, 2024 | 9.76 Bn |
| Jun 30, 2024 | 7.07 Bn |
| Mar 31, 2024 | 6.27 Bn |
| Dec 31, 2023 | 7.78 Bn |
| Sep 30, 2023 | 7.94 Bn |
| Jun 30, 2023 | 7.99 Bn |
| Mar 31, 2023 | 7.94 Bn |
| Dec 31, 2022 | 7.93 Bn |
| Sep 30, 2022 | 7.46 Bn |
| Jun 30, 2022 | 7.61 Bn |
| Mar 31, 2022 | 7.66 Bn |
| Dec 31, 2021 | 5.24 Bn |
| Sep 30, 2021 | 5.32 Bn |
API Access
Aptiv 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=APTV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "APTV", "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=APTV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();