Ambarella (AMBA) Price to Earnings (2012 - 2018)
Ambarella's Price to Earnings came in at 247.68 for fiscal Q1 2019 (quarter ended Apr 30, 2018), up 669.7% from 32.18 a year earlier and up 176.6% from the prior quarter.
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Analysis
Ambarella (AMBA) Price to Earnings (2012 - 2018) Analysis & Trends
For FY2018 (ended Jan 31, 2018), Ambarella's Price to Earnings was 89.53, up 212.7% from FY2017.
- Going back by fiscal year, Price to Earnings was 28.64 in FY2017 (+70.8%), 16.77 in FY2016 (-50.3%), 33.73 in FY2015 (-6.0%) and 35.89 in FY2014 (+382.0%).
- The fiscal Q1 2019 figure represents the highest quarterly Price to Earnings in data going back to fiscal Q3 2013.
- Year-over-year, Price to Earnings has increased for three consecutive quarters, with growth averaging 141.2% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in fiscal Q1 2019 (growth of 669.7%), and the weakest in fiscal Q4 2016 (a decline of 50.3%).
- Business Quant data shows AMBA's Price to Earnings at 89.53 (Q4 2018), 52.29 (Q3 2018) and 31.22 (Q2 2018) in the three fiscal quarters before Q1 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,084.14 Bn | 4,858.30 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,168.94 Bn | 1,795.12 Bn | 27.22 Bn |
| 3 | Broadcom | 1,535.70 Bn | 1,461.75 Bn | 20.46 Bn |
| 4 | Micron Technology | 992.51 Bn | 898.15 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 843.40 Bn | 800.15 Bn | 6.20 Bn |
| 6 | Asml Holding | 605.80 Bn | 561.49 Bn | 5.90 Bn |
| 7 | Intel | 438.54 Bn | 323.27 Bn | 6.51 Bn |
| 8 | Applied Materials | 299.38 Bn | 264.82 Bn | 4.59 Bn |
| 9 | Lam Research | 287.43 Bn | 263.48 Bn | 4.30 Bn |
| 10 | Ambarella | 2.94 Bn | 1.78 Bn | 62.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2018 | 247.68 |
| Jan 31, 2018 | 89.53 |
| Oct 31, 2017 | 52.29 |
| Jul 31, 2017 | 31.22 |
| Apr 30, 2017 | 32.18 |
| Jan 31, 2017 | 28.64 |
| Oct 31, 2016 | 45.60 |
| Jul 31, 2016 | 42.13 |
| Apr 30, 2016 | 22.71 |
| Jan 31, 2016 | 16.77 |
| Oct 31, 2015 | 17.79 |
| Jul 31, 2015 | 47.06 |
| Apr 30, 2015 | 35.73 |
| Jan 31, 2015 | 33.73 |
| Oct 31, 2014 | 34.94 |
| Jul 31, 2014 | 29.07 |
| Apr 30, 2014 | 27.75 |
| Jan 31, 2014 | 35.89 |
| Oct 31, 2013 | 24.40 |
| Jul 31, 2013 | 21.42 |
API Access
Ambarella Price to Earnings 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=price-to-earnings&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();