Robo.Ai (AIIO) Total Non-Current Liabilities (2021 - 2026)
Robo.Ai's Total Non-Current Liabilities came in at $4.44 million for Q2 2026, compared with -$1.29 million a year earlier.
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Analysis
Robo.Ai (AIIO) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Robo.Ai's Total Non-Current Liabilities was $124.47 million.
- Total Non-Current Liabilities carries a four-year compound annual growth rate of 21.2% (FY2021 to FY2025).
- Going back by year, Total Non-Current Liabilities was $4.8 million in FY2024 (-32.1%), $7.08 million in FY2023 (-20.0%), $8.84 million in FY2022 (-84.7%) and $57.69 million in FY2021.
- The five-year range for quarterly Total Non-Current Liabilities is -$1.29 million (Q2 2025) to $124.47 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn | 5.53 Bn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn | 118.34 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn | 219.21 Bn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn | 5.28 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 3.36 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.53 Bn | -6.78 Bn | 179.00 Mn | 8.76 Bn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | 73.67 Bn |
| 10 | Robo.Ai | 9.88 Mn | 3.45 Mn | - | 4.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.44 Mn |
| Dec 31, 2025 | 112.61 Mn |
| Jun 30, 2025 | 1.29 Mn |
| Dec 31, 2024 | 4.80 Mn |
| Jun 30, 2024 | 7.13 Mn |
| Dec 31, 2023 | 7.08 Mn |
| Jun 30, 2023 | 8.27 Mn |
| Dec 31, 2022 | 8.84 Mn |
| Dec 31, 2021 | 57.69 Mn |
API Access
Robo.Ai 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=AIIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AIIO", "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=AIIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();