Mobileye Global (MBLY) Total Non-Current Liabilities (2021 - 2026)
Mobileye Global's Total Non-Current Liabilities came in at $176 million for Q2 2026, up 6.7% from $165 million a year earlier and up 15.8% from the prior quarter.
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Analysis
Mobileye Global (MBLY) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Mobileye Global's Total Non-Current Liabilities was $205 million, up 28.9% from FY2024.
- Total Non-Current Liabilities carries a four-year compound annual growth rate of -8.5% (FY2021 to FY2025).
- Going back by year, Total Non-Current Liabilities was $159 million in FY2024 (-36.4%), $250 million in FY2023 (-4.9%), $263 million in FY2022 (-9.9%) and $292 million in FY2021.
- The five-year range for quarterly Total Non-Current Liabilities is $152 million (Q1 2026) to $292 million (Q4 2021).
- Year-over-year, Total Non-Current Liabilities increased in three of the last eight quarters, with an average decline of 12.6%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2025 (growth of 28.9%), and the weakest in Q4 2024 (a decline of 36.4%).
- Business Quant data shows MBLY's Total Non-Current Liabilities at $152 million (Q1 2026), $205 million (Q4 2025) and $171 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 10.77 Bn | 5.80 Bn | -5.00 Mn | 184.00 Mn |
| 2 | Mobileye Global | 6.19 Bn | 85.26 Mn | 235.00 Mn | 176.00 Mn |
| 3 | Pony AI | 2.84 Bn | 2.91 Bn | 6.35 Mn | 91.09 Mn |
| 4 | WeRide | 1.80 Bn | -1.22 Bn | 12.76 Mn | 18.12 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | 742,910.00 |
| 6 | Kodiak AI | 413.59 Mn | -94.53 Mn | - | 285.57 Mn |
| 7 | Serve Robotics | 400.48 Mn | 400.48 Mn | -8.78 Mn | - |
| 8 | Richtech Robotics | 356.77 Mn | 356.77 Mn | 802,000.00 | 1.95 Mn |
| 9 | ECARX Holdings | 332.24 Mn | -29.58 Mn | 44.50 Mn | 268.61 Mn |
| 10 | Palladyne AI | 256.53 Mn | 64.90 Mn | 1.68 Mn | 20.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 176.00 Mn |
| Mar 28, 2026 | 152.00 Mn |
| Dec 27, 2025 | 205.00 Mn |
| Sep 27, 2025 | 171.00 Mn |
| Jun 28, 2025 | 165.00 Mn |
| Mar 29, 2025 | 159.00 Mn |
| Dec 28, 2024 | 159.00 Mn |
| Sep 28, 2024 | 163.00 Mn |
| Jun 29, 2024 | 242.00 Mn |
| Mar 30, 2024 | 250.00 Mn |
| Dec 30, 2023 | 250.00 Mn |
| Sep 30, 2023 | 241.00 Mn |
| Jul 1, 2023 | 249.00 Mn |
| Apr 1, 2023 | 257.00 Mn |
| Dec 31, 2022 | 263.00 Mn |
| Oct 1, 2022 | 224.00 Mn |
| Dec 25, 2021 | 292.00 Mn |
API Access
Mobileye Global 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=MBLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "MBLY", "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=MBLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();