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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Ambarella | 2.65 Bn | 1.50 Bn | 62.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2018 | 79.19 |
| Apr 30, 2018 | 55.58 |
| Jan 31, 2018 | 38.73 |
| Oct 31, 2017 | 33.08 |
| Jul 31, 2017 | 22.25 |
| Apr 30, 2017 | 24.33 |
| Jan 31, 2017 | 21.41 |
| Oct 31, 2016 | 33.49 |
| Jul 31, 2016 | 31.10 |
| Apr 30, 2016 | 15.94 |
| Jan 31, 2016 | 11.69 |
| Oct 31, 2015 | 14.21 |
| Jul 31, 2015 | 41.72 |
| Apr 30, 2015 | 30.67 |
| Jan 31, 2015 | 28.53 |
| Oct 31, 2014 | 28.40 |
| Jul 31, 2014 | 20.50 |
| Apr 30, 2014 | 19.06 |
| Jan 31, 2014 | 31.73 |
| Oct 31, 2013 | 16.81 |
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_KEY
import 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();