Par Technology (PAR) Price to FCF (2011 - 2018)
Par Technology's Price to FCF came in at 180.64 for Q3 2018, down 15.3% from 213.16 a year earlier but up 138.0% from the prior quarter.
Analysis
Par Technology (PAR) Price to FCF (2011 - 2018) Analysis & Trends
For FY2016, Par Technology's Price to FCF was 11.11, down 90.4% from FY2015.
- Going back by year, Price to FCF was 115.83 in FY2015 (+872.3%), 11.91 in FY2014 and 5.64 in FY2012 (+21.3%).
- The five-year range for quarterly Price to FCF is 8.16 (Q2 2014) to 213.16 (Q3 2017).
- The fastest year-over-year change in Price to FCF over five years came in Q4 2015 (growth of 872.3%), and the weakest in Q4 2016 (a decline of 90.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn |
| 10 | Par Technology | 595.62 Mn | 266.72 Mn | 56.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 180.64 |
| Jun 30, 2018 | 75.91 |
| Sep 30, 2017 | 213.16 |
| Mar 31, 2017 | 19.64 |
| Dec 31, 2016 | 11.11 |
| Jun 30, 2016 | 31.70 |
| Dec 31, 2015 | 115.83 |
| Sep 30, 2015 | 15.56 |
| Jun 30, 2015 | 37.68 |
| Mar 31, 2015 | 9.01 |
| Dec 31, 2014 | 11.91 |
| Sep 30, 2014 | 15.22 |
| Jun 30, 2014 | 8.16 |
| Mar 31, 2014 | 59.27 |
| Mar 31, 2013 | 38.69 |
| Dec 31, 2012 | 5.64 |
| Sep 30, 2012 | 3.92 |
| Jun 30, 2012 | 3.54 |
| Mar 31, 2012 | 3.06 |
| Dec 31, 2011 | 4.65 |
API Access
Par Technology Price 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=price-to-fcf&ticker=PAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();