Par Technology (PAR) EV to EBITDA (2012 - 2018)
Par Technology's EV to EBITDA came in at 113.38 for Q1 2018, up 860.2% from 11.81 a year earlier and up 211.2% from the prior quarter.
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Analysis
Par Technology (PAR) EV to EBITDA (2012 - 2018) Analysis & Trends
Over the trailing twelve months to Mar 31, 2018, Par Technology reported EV to EBITDA of 107.78, up 987.2% year-over-year; for FY2017, it was 36.43, up 215.5% from FY2016.
- Going back by year, EV to EBITDA was 11.55 in FY2016 (+15.1%), 10.03 in FY2015 (-36.6%), 15.81 in FY2014 (-53.8%) and 34.20 in FY2013 (+196.0%).
- The Q1 2018 figure represents the highest quarterly EV to EBITDA in data going back to Q2 2012.
- Year-over-year, EV to EBITDA has increased for eight consecutive quarters, with growth averaging 156.7% over the last eight quarters.
- The fastest year-over-year change in EV to EBITDA over five years came in Q1 2018 (growth of 860.2%), and the weakest in Q2 2015 (a decline of 77.0%).
- Business Quant data shows PAR's EV to EBITDA at 36.43 (Q4 2017), 21.87 (Q3 2017) and 11.32 (Q2 2017) in the three quarters before Q1 2018.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 113.38 |
| Dec 31, 2017 | 36.43 |
| Sep 30, 2017 | 21.87 |
| Jun 30, 2017 | 11.32 |
| Mar 31, 2017 | 11.81 |
| Dec 31, 2016 | 11.54 |
| Sep 30, 2016 | 11.10 |
| Jun 30, 2016 | 9.09 |
| Mar 31, 2016 | 10.60 |
| Dec 31, 2015 | 9.98 |
| Sep 30, 2015 | 8.83 |
| Jun 30, 2015 | 8.83 |
| Mar 31, 2015 | 11.37 |
| Dec 31, 2014 | 24.07 |
| Sep 30, 2014 | 27.14 |
| Jun 30, 2014 | 38.42 |
| Mar 31, 2014 | 26.21 |
| Dec 31, 2013 | 34.20 |
| Sep 30, 2013 | 49.17 |
| Jun 30, 2013 | 19.76 |
API Access
Par Technology 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=PAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();