Par Technology (PAR) Return on Capital Employed [ROCE] (2011 - 2026)
Par Technology's Return on Capital Employed [ROCE] came in at -4.90% for Q2 2026, up 0.24 percentage points from -5.14% a year earlier and up 0.38 percentage points from the prior quarter.
Par Technology (PAR) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Par Technology's Return on Capital Employed [ROCE] was -5.57%, up 2.50 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +4.99 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -8.07% in FY2024 (+1.51 pp), -9.58% in FY2023 (-0.99 pp), -8.59% in FY2022 (+1.11 pp) and -9.70% in FY2021 (+0.86 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q1 2018.
- Year-over-year, Return on Capital Employed [ROCE] has increased for nine consecutive quarters, with an average year-over-year change of +2.12 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2025 (a gain of 4.68 percentage points), and the weakest in Q2 2023 (a drop of 2.53 percentage points).
- Business Quant data shows PAR's Return on Capital Employed [ROCE] at -5.28% (Q1 2026), -5.58% (Q4 2025) and -5.37% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 0.82% |
| 10 | Par Technology | 595.62 Mn | 266.72 Mn | 56.58 Mn | -4.90% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.90% |
| Mar 31, 2026 | -5.28% |
| Dec 31, 2025 | -5.58% |
| Sep 30, 2025 | -5.37% |
| Jun 30, 2025 | -5.14% |
| Mar 31, 2025 | -5.35% |
| Dec 31, 2024 | -6.44% |
| Sep 30, 2024 | -7.53% |
| Jun 30, 2024 | -8.63% |
| Mar 31, 2024 | -10.03% |
| Dec 31, 2023 | -9.45% |
| Sep 30, 2023 | -9.99% |
| Jun 30, 2023 | -9.97% |
| Mar 31, 2023 | -9.00% |
| Dec 31, 2022 | -8.72% |
| Sep 30, 2022 | -8.05% |
| Jun 30, 2022 | -7.44% |
| Mar 31, 2022 | -7.38% |
| Dec 31, 2021 | -6.44% |
| Sep 30, 2021 | -6.18% |
Par Technology Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=PAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();