Ambarella (AMBA) Total Liabilities (2012 - 2026)
Ambarella's Total Liabilities came in at $159.89 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 23.1% from $129.91 million a year earlier but down 15.4% from the prior quarter.
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Analysis
Ambarella (AMBA) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ambarella's Total Liabilities was $203.81 million, up 59.8% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of 15.7% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $127.56 million in FY2025 (+30.4%), $97.78 million in FY2024 (-6.1%), $104.11 million in FY2023 (-5.7%) and $110.37 million in FY2022 (+12.3%).
- The five-year range for quarterly Total Liabilities is $83.24 million (fiscal Q1 2025) to $203.81 million (fiscal Q4 2026).
- Year-over-year, Total Liabilities has increased for nine consecutive quarters, with growth averaging 38.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2026 (growth of 59.8%), and the weakest in fiscal Q1 2025 (a decline of 15.6%).
- Business Quant data shows AMBA's Total Liabilities at $189.02 million (Q1 2027), $203.81 million (Q4 2026) and $161.78 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn | 17.90 Bn |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn | 12.44 Bn |
| 10 | Ambarella | 2.97 Bn | 1.81 Bn | 62.42 Mn | 159.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 159.89 Mn |
| Apr 30, 2026 | 189.02 Mn |
| Jan 31, 2026 | 203.81 Mn |
| Oct 31, 2025 | 161.78 Mn |
| Jul 31, 2025 | 129.91 Mn |
| Apr 30, 2025 | 129.20 Mn |
| Jan 31, 2025 | 127.56 Mn |
| Oct 31, 2024 | 116.49 Mn |
| Jul 31, 2024 | 102.78 Mn |
| Apr 30, 2024 | 83.24 Mn |
| Jan 31, 2024 | 97.78 Mn |
| Oct 31, 2023 | 92.84 Mn |
| Jul 31, 2023 | 93.93 Mn |
| Apr 30, 2023 | 98.59 Mn |
| Jan 31, 2023 | 104.11 Mn |
| Oct 31, 2022 | 99.06 Mn |
| Jul 31, 2022 | 96.31 Mn |
| Apr 30, 2022 | 94.32 Mn |
| Jan 31, 2022 | 110.37 Mn |
| Oct 31, 2021 | 104.12 Mn |
API Access
Ambarella Total 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-liabilities&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "AMBA", "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-liabilities&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();