Ambarella (AMBA) Receivables (2012 - 2026)
Ambarella (AMBA) reported Receivables of $37.44 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 12.7% from $42.9 million a year earlier and down 4.4% from the prior quarter.
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Analysis
Ambarella (AMBA) Receivables (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ambarella posted Receivables of $39.18 million, up 31.6% from FY2025.
- Receivables has a five-year compound annual growth rate of 9.4% (FY2021 to FY2026).
- By fiscal year, Receivables came in at $29.77 million in FY2025 (+19.3%), $24.95 million in FY2024 (-52.0%), $51.99 million in FY2023 (+17.3%) and $44.31 million in FY2022 (+77.4%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Receivables since fiscal Q1 2026.
- Year over year, Receivables gained in seven of the last eight quarters, with growth averaging 29.0%.
- The high point for year-over-year Receivables in five years was fiscal Q3 2022 (growth of 85.7%); the low point was fiscal Q3 2024 (a decline of 52.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $39.18 million (Q1 2027), $39.18 million (Q4 2026) and $42.23 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn | 13.84 Bn |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn | 36.65 Bn |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn | 4.07 Bn |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn | 7.69 Bn |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn | 5.66 Bn |
| 10 | Ambarella | 2.97 Bn | 1.81 Bn | 62.42 Mn | 37.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 37.44 Mn |
| Apr 30, 2026 | 39.18 Mn |
| Jan 31, 2026 | 39.18 Mn |
| Oct 31, 2025 | 42.23 Mn |
| Jul 31, 2025 | 42.90 Mn |
| Apr 30, 2025 | 30.24 Mn |
| Jan 31, 2025 | 29.77 Mn |
| Oct 31, 2024 | 33.97 Mn |
| Jul 31, 2024 | 23.16 Mn |
| Apr 30, 2024 | 28.30 Mn |
| Jan 31, 2024 | 24.95 Mn |
| Oct 31, 2023 | 22.97 Mn |
| Jul 31, 2023 | 30.16 Mn |
| Apr 30, 2023 | 29.83 Mn |
| Jan 31, 2023 | 51.99 Mn |
| Oct 31, 2022 | 48.56 Mn |
| Jul 31, 2022 | 37.70 Mn |
| Apr 30, 2022 | 28.01 Mn |
| Jan 31, 2022 | 44.31 Mn |
| Oct 31, 2021 | 44.78 Mn |
API Access
Ambarella Receivables 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=receivables&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();