Par Technology (PAR) Selling, General & Administrative (2010 - 2026)
Par Technology's Selling, General & Administrative was $26.29 million in Q2 2026, down 17.1% from $31.7 million a year earlier and down 14.4% from the prior quarter.
Par Technology (PAR) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Par Technology's Selling, General & Administrative was $118.71 million through Jun 30, 2026, down 0.5% year-over-year; for FY2025, it was $122.71 million, up 12.7% from FY2024.
- Selling, General & Administrative has now increased for seven consecutive years, with a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $108.9 million in FY2024 (+51.0%), $72.14 million in FY2023 (+3.4%), $69.77 million in FY2022 (+16.6%) and $59.83 million in FY2021 (+29.5%).
- The Q2 2026 figure marks the lowest quarterly Selling, General & Administrative since Q2 2024.
- Compared with a year earlier, Selling, General & Administrative was higher in six of the last eight quarters, with growth averaging 19.9%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2021 (growth of 106.1%); the worst was Q4 2021 (a decline of 95.2%).
- Per Business Quant data, PAR's Selling, General & Administrative in the three quarters before Q2 2026 was $30.7 million (Q1 2026), $30 million (Q4 2025) and $31.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 89.00 Mn |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 59.97 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 50.59 Mn |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 149.70 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 26.74 Mn |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 114.00 Mn |
| 10 | Par Technology | 595.62 Mn | 266.72 Mn | 56.58 Mn | 26.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.29 Mn |
| Mar 31, 2026 | 30.70 Mn |
| Dec 31, 2025 | 30.00 Mn |
| Sep 30, 2025 | 31.73 Mn |
| Jun 30, 2025 | 31.70 Mn |
| Mar 31, 2025 | 29.28 Mn |
| Dec 31, 2024 | 31.00 Mn |
| Sep 30, 2024 | 27.35 Mn |
| Jun 30, 2024 | 25.37 Mn |
| Mar 31, 2024 | 25.18 Mn |
| Dec 31, 2023 | 19.21 Mn |
| Sep 30, 2023 | 17.53 Mn |
| Jun 30, 2023 | 16.43 Mn |
| Mar 31, 2023 | 18.08 Mn |
| Dec 31, 2022 | -5.54 Mn |
| Sep 30, 2022 | 26.54 Mn |
| Jun 30, 2022 | 26.40 Mn |
| Mar 31, 2022 | 22.37 Mn |
| Dec 31, 2021 | 687,000.00 |
| Sep 30, 2021 | 21.66 Mn |
Par Technology Selling, General & Administrative 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=selling-general-and-administrative&ticker=PAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();