Ambarella (AMBA) Return on Equity [ROE] (2013 - 2026)
Ambarella (AMBA) posted Return on Equity [ROE] of -9.19% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 6.23 percentage points from -15.42% a year earlier and up 2.41 percentage points from the prior quarter.
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Analysis
Ambarella (AMBA) Return on Equity [ROE] (2013 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Ambarella's Return on Equity [ROE] came in at -13.12%, up 7.77 percentage points from FY2025.
- Annual Return on Equity [ROE] shows a five-year change of -0.17 percentage points (FY2021 to FY2026).
- In prior fiscal years, Ambarella's Return on Equity [ROE] was -20.89% in FY2025 (+8.17 pp), -29.06% in FY2024 (-17.72 pp), -11.34% in FY2023 (-6.17 pp) and -5.17% in FY2022 (+7.79 pp).
- The fiscal Q2 2027 figure stands as the highest quarterly Return on Equity [ROE] since fiscal Q2 2023.
- On a year-over-year basis, Return on Equity [ROE] has increased in each of the last seven quarters, with an average year-over-year change of +8.10 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was fiscal Q2 2026, with a gain of 16.34 percentage points; the weakest was fiscal Q4 2024, with a drop of 18.48 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior fiscal quarters was -11.61% (Q1 2027), -12.81% (Q4 2026) and -13.65% (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 38.27% |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 90.87% |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 40.84% |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 71.07% |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 11.24% |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | -10.18% |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 39.00% |
| 10 | Ambarella | 2.65 Bn | 1.50 Bn | 62.42 Mn | -9.19% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -9.19% |
| Apr 30, 2026 | -11.61% |
| Jan 31, 2026 | -12.81% |
| Oct 31, 2025 | -13.65% |
| Jul 31, 2025 | -15.42% |
| Apr 30, 2025 | -18.26% |
| Jan 31, 2025 | -21.00% |
| Oct 31, 2024 | -28.60% |
| Jul 31, 2024 | -31.76% |
| Apr 30, 2024 | -30.75% |
| Jan 31, 2024 | -29.42% |
| Oct 31, 2023 | -20.08% |
| Jul 31, 2023 | -16.21% |
| Apr 30, 2023 | -14.92% |
| Jan 31, 2023 | -10.94% |
| Oct 31, 2022 | -10.88% |
| Jul 31, 2022 | -7.44% |
| Apr 30, 2022 | -4.70% |
| Jan 31, 2022 | -4.90% |
| Oct 31, 2021 | -5.75% |
API Access
Ambarella Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();