VitaNova Life Sciences (VNOV) EBITDA (2017 - 2019)
VitaNova Life Sciences' EBITDA was -$19,884 in fiscal Q1 2020 (quarter ended Jul 31, 2019), compared with -$13,459 a year earlier.
VitaNova Life Sciences (VNOV) EBITDA (2017 - 2019) Analysis & Trends
On a trailing twelve-month basis, VitaNova Life Sciences' EBITDA was -$80,603 through Jul 31, 2019; for FY2019 (ended Apr 30, 2019), it was -$71,811.
- In earlier fiscal years, EBITDA was -$48,649 in FY2018 and $7,215 in FY2017.
- Quarterly EBITDA has moved between -$36,696 (fiscal Q3 2019) and $21,551 (fiscal Q2 2018) over five years.
- Per Business Quant data, VNOV's EBITDA in the three fiscal quarters before Q1 2020 was -$13,596 (Q4 2019), -$36,696 (Q3 2019) and -$10,427 (Q2 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | 234.97 Mn |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 196.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | 425.01 Mn |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | VitaNova Life Sciences | 37.94 Mn | 32.31 Mn | 30,521.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2019 | -19,884.00 |
| Apr 30, 2019 | -13,596.00 |
| Jan 31, 2019 | -36,696.00 |
| Oct 31, 2018 | -10,427.00 |
| Jul 31, 2018 | -13,459.00 |
| Jul 31, 2017 | 21,551.00 |
VitaNova Life Sciences 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=ebitda&ticker=VNOV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "VNOV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=VNOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();