Ambarella (AMBA) Return on Assets [ROA] (2013 - 2026)
Ambarella (AMBA) recorded Return on Assets [ROA] of -7.16% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.43 percentage points from -12.59% a year earlier and up 1.59 percentage points from the prior quarter.
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Analysis
Ambarella (AMBA) Return on Assets [ROA] (2013 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Ambarella reported Return on Assets [ROA] of -10.20%, up 7.20 percentage points from FY2025.
- Annual Return on Assets [ROA] has a five-year change of +0.66 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Assets [ROA] came in at -17.40% in FY2025 (+7.38 pp), -24.77% in FY2024 (-15.21 pp), -9.56% in FY2023 (-5.27 pp) and -4.29% in FY2022 (+6.57 pp).
- The fiscal Q2 2027 figure is the highest quarterly Return on Assets [ROA] since fiscal Q2 2023.
- On a year-over-year basis, Return on Assets [ROA] has increased for seven consecutive quarters, with an average year-over-year change of +7.45 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 14.59 percentage points in fiscal Q2 2026, against a drop of 15.89 percentage points in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -8.74% (Q1 2027), -9.79% (Q4 2026) and -10.92% (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn | 66.53% |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn | 7.14% |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn | 20.84% |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn | 51.46% |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn | 7.84% |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn | - |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn | -5.49% |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn | 22.11% |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn | 33.88% |
| 10 | Ambarella | 2.97 Bn | 1.81 Bn | 62.42 Mn | -7.16% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -7.16% |
| Apr 30, 2026 | -8.74% |
| Jan 31, 2026 | -9.79% |
| Oct 31, 2025 | -10.92% |
| Jul 31, 2025 | -12.59% |
| Apr 30, 2025 | -14.89% |
| Jan 31, 2025 | -17.23% |
| Oct 31, 2024 | -23.86% |
| Jul 31, 2024 | -27.18% |
| Apr 30, 2024 | -26.46% |
| Jan 31, 2024 | -25.24% |
| Oct 31, 2023 | -17.36% |
| Jul 31, 2023 | -13.99% |
| Apr 30, 2023 | -12.78% |
| Jan 31, 2023 | -9.35% |
| Oct 31, 2022 | -9.32% |
| Jul 31, 2022 | -6.38% |
| Apr 30, 2022 | -3.98% |
| Jan 31, 2022 | -4.09% |
| Oct 31, 2021 | -4.77% |
API Access
Ambarella Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();