Par Technology (PAR) Return on Sales [ROS] (2010 - 2026)
Par Technology (PAR) posted Return on Sales [ROS] of -9.67% for Q2 2026, up 5.73 percentage points from -15.40% a year earlier and up 1.53 percentage points from the prior quarter.
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Analysis
Par Technology (PAR) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Par Technology was -12.58%, up 2.89 percentage points year-over-year; for FY2025, it came in at -15.10%, up 7.50 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, though with a five-year change of -3.90 percentage points (FY2020 to FY2025).
- In prior years, Par Technology's Return on Sales [ROS] was -22.60% in FY2024 (+3.32 pp), -25.92% in FY2023 (+0.41 pp), -26.32% in FY2022 (-7.28 pp) and -19.05% in FY2021 (-7.85 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2020.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last nine quarters, with an average year-over-year change of +8.03 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2023, with a gain of 491.20 percentage points; the weakest was Q4 2022, with a drop of 496.05 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -11.20% (Q1 2026), -15.04% (Q4 2025) and -14.81% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | Par Technology | 589.83 Mn | 260.93 Mn | 56.58 Mn | -9.67% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.67% |
| Mar 31, 2026 | -11.20% |
| Dec 31, 2025 | -15.04% |
| Sep 30, 2025 | -14.81% |
| Jun 30, 2025 | -15.40% |
| Mar 31, 2025 | -15.16% |
| Dec 31, 2024 | -15.64% |
| Sep 30, 2024 | -15.70% |
| Jun 30, 2024 | -26.53% |
| Mar 31, 2024 | -38.16% |
| Dec 31, 2023 | -25.41% |
| Sep 30, 2023 | -24.81% |
| Jun 30, 2023 | -28.59% |
| Mar 31, 2023 | -13.80% |
| Dec 31, 2022 | -516.61% |
| Sep 30, 2022 | -19.88% |
| Jun 30, 2022 | -18.92% |
| Mar 31, 2022 | -15.95% |
| Dec 31, 2021 | -20.56% |
| Sep 30, 2021 | -18.12% |
API Access
Par Technology Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=PAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();