Par Technology (PAR) Cash & Equivalents (2010 - 2026)
Par Technology (PAR) reported Cash & Equivalents of $77.37 million for Q2 2026, down 9.1% from $85.12 million a year earlier but up 0.2% from the prior quarter.
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Analysis
Par Technology (PAR) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Par Technology posted Cash & Equivalents of $79.57 million, down 26.4% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -15.1% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $108.12 million in FY2024 (+190.8%), $37.18 million in FY2023 (-47.1%), $70.33 million in FY2022 (-62.7%) and $188.42 million in FY2021 (+4.3%).
- Five-year quarterly Cash & Equivalents spans a low of $37.18 million in Q4 2023 and a high of $200.29 million in Q3 2021.
- Year over year, Cash & Equivalents has now declined in each of the last five quarters, with growth averaging 40.8% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q3 2021 (growth of 259.2%); the low point was Q2 2023 (a decline of 70.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $77.23 million (Q1 2026), $79.57 million (Q4 2025) and $92.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Par Technology | 595.62 Mn | 266.72 Mn | 56.58 Mn | 77.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.37 Mn |
| Mar 31, 2026 | 77.23 Mn |
| Dec 31, 2025 | 79.57 Mn |
| Sep 30, 2025 | 92.47 Mn |
| Jun 30, 2025 | 85.12 Mn |
| Mar 31, 2025 | 91.65 Mn |
| Dec 31, 2024 | 108.12 Mn |
| Sep 30, 2024 | 105.80 Mn |
| Jun 30, 2024 | 114.93 Mn |
| Mar 31, 2024 | 50.78 Mn |
| Dec 31, 2023 | 37.18 Mn |
| Sep 30, 2023 | 43.14 Mn |
| Jun 30, 2023 | 44.16 Mn |
| Mar 31, 2023 | 48.66 Mn |
| Dec 31, 2022 | 70.33 Mn |
| Sep 30, 2022 | 85.52 Mn |
| Jun 30, 2022 | 148.57 Mn |
| Mar 31, 2022 | 163.21 Mn |
| Dec 31, 2021 | 188.42 Mn |
| Sep 30, 2021 | 200.29 Mn |
API Access
Par Technology Cash & Equivalents 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=cash-and-equivalents&ticker=PAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();