Tesla (TSLA) Total Non-Current Liabilities (2010 - 2026)
Tesla (TSLA) recorded Total Non-Current Liabilities of $47.48 billion in Q2 2026, up 21.7% from $39.01 billion a year earlier and up 3.6% from the prior quarter.
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Analysis
Tesla (TSLA) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Tesla reported Total Non-Current Liabilities of $42.14 billion, up 11.0% from FY2024.
- Annual Total Non-Current Liabilities has increased for 15 straight years, with a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $37.96 billion in FY2024 (+8.1%), $35.1 billion in FY2023 (+11.4%), $31.52 billion in FY2022 (+14.3%) and $27.57 billion in FY2021 (+7.1%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 57 consecutive quarters, with growth averaging 12.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 2.8% in Q3 2021 to 21.7% in Q2 2026.
- Per Business Quant, the preceding three quarters came in at $45.82 billion (Q1 2026), $42.14 billion (Q4 2025) and $40.87 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 47.48 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 122.27 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 5.53 Bn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | 219.21 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | 5.28 Bn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | 3.36 Bn |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn | 8.76 Bn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 73.67 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn | 2.98 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.48 Bn |
| Mar 31, 2026 | 45.82 Bn |
| Dec 31, 2025 | 42.14 Bn |
| Sep 30, 2025 | 40.87 Bn |
| Jun 30, 2025 | 39.01 Bn |
| Mar 31, 2025 | 38.72 Bn |
| Dec 31, 2024 | 37.96 Bn |
| Sep 30, 2024 | 38.98 Bn |
| Jun 30, 2024 | 36.22 Bn |
| Mar 31, 2024 | 35.14 Bn |
| Dec 31, 2023 | 35.10 Bn |
| Sep 30, 2023 | 32.40 Bn |
| Jun 30, 2023 | 31.77 Bn |
| Mar 31, 2023 | 32.03 Bn |
| Dec 31, 2022 | 31.52 Bn |
| Sep 30, 2022 | 29.39 Bn |
| Jun 30, 2022 | 27.35 Bn |
| Mar 31, 2022 | 27.25 Bn |
| Dec 31, 2021 | 27.57 Bn |
| Sep 30, 2021 | 26.46 Bn |
API Access
Tesla 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=TSLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TSLA", "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=TSLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();