Par Technology (PAR) EV to FCF (2011 - 2018)
Par Technology's (PAR) EV to FCF was 177.71 for Q3 2018, down 16.0% from 211.66 a year earlier but up 141.5% from the prior quarter.
Par Technology (PAR) EV to FCF (2011 - 2018) Analysis & Trends
Over the twelve months ended Sep 30, 2018, Par Technology's EV to FCF came in at 167.13, down 11.6% year-over-year; for FY2016, it came in at 9.97, down 90.7% from FY2015.
- By year, EV to FCF came in at 107.00 in FY2015 (+904.7%), 10.65 in FY2014 and 4.16 in FY2012 (+2.9%).
- Five-year quarterly EV to FCF spans a low of 6.55 in Q2 2014 and a high of 211.66 in Q3 2017.
- The high point for year-over-year EV to FCF in five years was Q4 2015 (growth of 904.7%); the low point was Q4 2016 (a decline of 90.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Par Technology | 568.32 Mn | 239.42 Mn | 56.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 177.71 |
| Jun 30, 2018 | 73.58 |
| Sep 30, 2017 | 211.66 |
| Mar 31, 2017 | 18.69 |
| Dec 31, 2016 | 9.97 |
| Jun 30, 2016 | 29.44 |
| Dec 31, 2015 | 107.00 |
| Sep 30, 2015 | 15.11 |
| Jun 30, 2015 | 35.15 |
| Mar 31, 2015 | 8.18 |
| Dec 31, 2014 | 10.65 |
| Sep 30, 2014 | 13.16 |
| Jun 30, 2014 | 6.55 |
| Mar 31, 2014 | 51.28 |
| Mar 31, 2013 | 31.03 |
| Dec 31, 2012 | 4.16 |
| Sep 30, 2012 | 3.06 |
| Jun 30, 2012 | 2.72 |
| Mar 31, 2012 | 2.38 |
| Dec 31, 2011 | 4.04 |
Par Technology EV to FCF 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-fcf&ticker=PAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();