Par Technology (PAR) Revenue (2010 - 2026)
Par Technology's Revenue was $133.41 million in Q2 2026, up 18.7% from $112.4 million a year earlier and up 7.6% from the prior quarter.
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Analysis
Par Technology (PAR) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Par Technology's Revenue was $496.67 million through Jun 30, 2026, up 18.8% year-over-year; for FY2025, it was $455.55 million, up 30.2% from FY2024.
- Revenue has now increased for three consecutive years, with a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- In earlier years, Revenue was $349.98 million in FY2024 (+26.5%), $276.71 million in FY2023 (+5.5%), $262.35 million in FY2022 (-7.3%) and $282.88 million in FY2021 (+32.3%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q2 2010.
- Compared with a year earlier, Revenue has increased for nine straight quarters, with growth averaging 32.3% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q4 2024 (growth of 50.2%); the worst was Q4 2022 (a decline of 94.9%).
- Per Business Quant data, PAR's Revenue in the three quarters before Q2 2026 was $123.97 million (Q1 2026), $120.1 million (Q4 2025) and $119.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 927.96 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 508.44 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.91 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 600.05 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 972.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 298.45 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 297.79 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 925.00 Mn |
| 10 | Par Technology | 564.19 Mn | 235.29 Mn | 56.58 Mn | 133.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.41 Mn |
| Mar 31, 2026 | 123.97 Mn |
| Dec 31, 2025 | 120.10 Mn |
| Sep 30, 2025 | 119.18 Mn |
| Jun 30, 2025 | 112.40 Mn |
| Mar 31, 2025 | 103.86 Mn |
| Dec 31, 2024 | 105.01 Mn |
| Sep 30, 2024 | 96.75 Mn |
| Jun 30, 2024 | 78.15 Mn |
| Mar 31, 2024 | 70.07 Mn |
| Dec 31, 2023 | 69.90 Mn |
| Sep 30, 2023 | 68.70 Mn |
| Jun 30, 2023 | 69.53 Mn |
| Mar 31, 2023 | 100.44 Mn |
| Dec 31, 2022 | 4.20 Mn |
| Sep 30, 2022 | 92.77 Mn |
| Jun 30, 2022 | 85.09 Mn |
| Mar 31, 2022 | 80.29 Mn |
| Dec 31, 2021 | 81.60 Mn |
| Sep 30, 2021 | 77.86 Mn |
API Access
Par Technology Revenue 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=revenue&ticker=PAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();