Nio (NIO) Total Non-Current Liabilities (2017 - 2026)
Nio (NIO) reported Total Non-Current Liabilities of $5.06 billion for Q2 2026, up 16.3% from $4.35 billion a year earlier and up 5.4% from the prior quarter.
Nio (NIO) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Nio posted Total Non-Current Liabilities of $4.74 billion, up 8.8% from FY2024.
- Total Non-Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 28.6% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $4.35 billion in FY2024 (+3.1%), $4.22 billion in FY2023 (+28.0%), $3.3 billion in FY2022 (+34.6%) and $2.45 billion in FY2021 (+81.7%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2017.
- Year over year, Total Non-Current Liabilities has now increased in each of the last 12 quarters, with growth averaging 9.7% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2021 (growth of 81.6%); the low point was Q2 2023 (a decline of 18.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.8 billion (Q1 2026), $4.73 billion (Q4 2025) and $4.58 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,249.80 Bn | 1,072.02 Bn | 5.49 Bn | 52.81 Bn |
| 2 | General Motors | 80.83 Bn | -23.79 Bn | 9.28 Bn | 118.34 Bn |
| 3 | Ferrari | 77.00 Bn | 69.29 Bn | 1.14 Bn | 5.53 Bn |
| 4 | Ford Motor | 50.64 Bn | -83.78 Bn | 7.38 Bn | 223.48 Bn |
| 5 | Honda Motor | 47.02 Bn | -102.79 Bn | 8.46 Bn | 5.28 Bn |
| 6 | Toyota Motor | 25.29 Bn | -375.53 Bn | 20.95 Bn | 3.36 Bn |
| 7 | Rivian Automotive | 20.23 Bn | -1.49 Bn | 176.00 Mn | 8.95 Bn |
| 8 | Magna International | 18.52 Bn | 12.50 Bn | 1.63 Bn | - |
| 9 | Stellantis | 13.39 Bn | -148.04 Bn | 3.94 Bn | 76.23 Bn |
| 10 | Nio | 7.49 Bn | -16.22 Bn | 870.51 Mn | 5.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.06 Bn |
| Mar 31, 2026 | 4.80 Bn |
| Dec 31, 2025 | 4.73 Bn |
| Sep 30, 2025 | 4.58 Bn |
| Jun 30, 2025 | 4.35 Bn |
| Mar 31, 2025 | 4.32 Bn |
| Dec 31, 2024 | 4.36 Bn |
| Sep 30, 2024 | 4.34 Bn |
| Jun 30, 2024 | 4.08 Bn |
| Mar 31, 2024 | 3.93 Bn |
| Dec 31, 2023 | 4.22 Bn |
| Sep 30, 2023 | 3.75 Bn |
| Jun 30, 2023 | 2.88 Bn |
| Mar 31, 2023 | 3.70 Bn |
| Dec 31, 2022 | 3.27 Bn |
| Sep 30, 2022 | 3.41 Bn |
| Jun 30, 2022 | 3.53 Bn |
| Mar 31, 2022 | 2.81 Bn |
| Dec 31, 2021 | 2.45 Bn |
| Sep 30, 2021 | 2.28 Bn |
Nio 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=NIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NIO", "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=NIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();