Par Technology (PAR) Intangibles (2010 - 2026)
Par Technology (PAR) recorded Intangibles of $204.92 million in Q2 2026, down 10.7% from $229.45 million a year earlier and down 6.7% from the prior quarter.
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Analysis
Par Technology (PAR) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Par Technology reported Intangibles of $203.37 million, down 14.3% from FY2024.
- Annual Intangibles has a five-year compound annual growth rate of 43.8% (FY2020 to FY2025).
- Across earlier years, Intangibles came in at $237.33 million in FY2024 (+152.6%), $93.97 million in FY2023 (-15.4%), $111.1 million in FY2022 (-6.5%) and $118.76 million in FY2021 (+258.6%).
- Quarterly Intangibles has ranged from $93.97 million in Q4 2023 to $237.33 million in Q4 2024 over the past five years.
- On a year-over-year basis, Intangibles has declined for four consecutive quarters, with growth averaging 44.3% over the last eight quarters.
- Peak year-over-year performance for Intangibles in the last five years was growth of 259.3% in Q3 2021, against a decline of 16.9% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $219.71 million (Q1 2026), $203.37 million (Q4 2025) and $216.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 55.65 Mn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | - |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 11.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 765.80 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 850.40 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | 27.60 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | - |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 1.67 Bn |
| 10 | Par Technology | 557.98 Mn | 229.08 Mn | 56.58 Mn | 204.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 204.92 Mn |
| Mar 31, 2026 | 219.71 Mn |
| Dec 31, 2025 | 203.37 Mn |
| Sep 30, 2025 | 216.99 Mn |
| Jun 30, 2025 | 229.45 Mn |
| Mar 31, 2025 | 234.06 Mn |
| Dec 31, 2024 | 237.33 Mn |
| Sep 30, 2024 | 226.05 Mn |
| Jun 30, 2024 | 148.29 Mn |
| Mar 31, 2024 | 157.71 Mn |
| Dec 31, 2023 | 93.97 Mn |
| Sep 30, 2023 | 96.56 Mn |
| Jun 30, 2023 | 101.64 Mn |
| Mar 31, 2023 | 106.20 Mn |
| Dec 31, 2022 | 111.10 Mn |
| Sep 30, 2022 | 116.24 Mn |
| Jun 30, 2022 | 110.48 Mn |
| Mar 31, 2022 | 114.58 Mn |
| Dec 31, 2021 | 118.76 Mn |
| Sep 30, 2021 | 123.06 Mn |
API Access
Par Technology Intangibles 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=intangibles&ticker=PAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();