Par Technology (PAR) EV to EBIT (2011 - 2017)
Par Technology's EV to EBIT was 49.18 in Q3 2017, up 101.9% from 24.35 a year earlier and up 152.9% from the prior quarter.
Par Technology (PAR) EV to EBIT (2011 - 2017) Analysis & Trends
On a trailing twelve-month basis, Par Technology's EV to EBIT was 43.91 through Sep 30, 2017, up 135.6% year-over-year; for FY2016, it was 35.67, up 143.1% from FY2015.
- In earlier years, EV to EBIT was 14.67 in FY2015 (-41.5%) and 25.09 in FY2014.
- The Q3 2017 figure marks the highest quarterly EV to EBIT since Q4 2014.
- Compared with a year earlier, EV to EBIT has increased for six straight quarters, with growth averaging 38.1% over the last eight quarters.
- The best year-over-year quarter for EV to EBIT over five years was Q4 2016 (growth of 143.3%); the worst was Q4 2015 (a decline of 87.5%).
- Per Business Quant data, PAR's EV to EBIT in the three quarters before Q3 2017 was 19.45 (Q2 2017), 24.58 (Q1 2017) and 35.69 (Q4 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Par Technology | 564.19 Mn | 235.29 Mn | 56.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 49.18 |
| Jun 30, 2017 | 19.45 |
| Mar 31, 2017 | 24.58 |
| Dec 31, 2016 | 35.69 |
| Sep 30, 2016 | 24.35 |
| Jun 30, 2016 | 15.76 |
| Mar 31, 2016 | 16.18 |
| Dec 31, 2015 | 14.67 |
| Sep 30, 2015 | 13.31 |
| Jun 30, 2015 | 13.09 |
| Mar 31, 2015 | 23.72 |
| Dec 31, 2014 | 117.11 |
| Sep 30, 2012 | 15.00 |
| Jun 30, 2012 | 9.82 |
| Mar 31, 2011 | 8.85 |
Par Technology EV to EBIT 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-ebit&ticker=PAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "ticker": "PAR", "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-ebit&ticker=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();