Ambarella (AMBA) EV to EBITDA (2012 - 2018)
Ambarella's EV to EBITDA came in at 78.94 for fiscal Q2 2019 (quarter ended Jul 31, 2018), up 253.5% from 22.33 a year earlier and up 41.5% from the prior quarter.
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Analysis
Ambarella (AMBA) EV to EBITDA (2012 - 2018) Analysis & Trends
Over the trailing twelve months to Jul 31, 2018, Ambarella reported EV to EBITDA of -16.51; for FY2018 (ended Jan 31, 2018), it came in at 38.94, up 81.2% from FY2017.
- Going back by fiscal year, EV to EBITDA was 21.49 in FY2017 (+82.8%), 11.76 in FY2016 (-59.3%), 28.86 in FY2015 (-9.1%) and 31.74 in FY2014 (+390.0%).
- The fiscal Q2 2019 figure represents the highest quarterly EV to EBITDA in data going back to fiscal Q3 2013.
- Year-over-year, EV to EBITDA has increased for three consecutive quarters, with growth averaging 87.9% over the last eight quarters.
- The fastest year-over-year change in EV to EBITDA over five years came in fiscal Q4 2014 (growth of 391.7%), and the weakest in fiscal Q4 2016 (a decline of 59.3%).
- Business Quant data shows AMBA's EV to EBITDA at 55.80 (Q1 2019), 38.94 (Q4 2018) and 33.24 (Q3 2018) in the three fiscal quarters before Q2 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 |
|---|---|
| Jul 31, 2018 | 78.94 |
| Apr 30, 2018 | 55.80 |
| Jan 31, 2018 | 38.94 |
| Oct 31, 2017 | 33.24 |
| Jul 31, 2017 | 22.33 |
| Apr 30, 2017 | 24.42 |
| Jan 31, 2017 | 21.50 |
| Oct 31, 2016 | 33.68 |
| Jul 31, 2016 | 31.32 |
| Apr 30, 2016 | 16.05 |
| Jan 31, 2016 | 11.76 |
| Oct 31, 2015 | 14.31 |
| Jul 31, 2015 | 42.07 |
| Apr 30, 2015 | 31.00 |
| Jan 31, 2015 | 28.84 |
| Oct 31, 2014 | 28.65 |
| Jul 31, 2014 | 20.59 |
| Apr 30, 2014 | 19.06 |
| Jan 31, 2014 | 31.73 |
| Oct 31, 2013 | 16.81 |
API Access
Ambarella EV to EBITDA 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=ev-to-ebitda&ticker=AMBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=AMBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();