Par Technology (PAR) Amortization - Intangibles (2010 - 2026)
Par Technology (PAR) posted Amortization - Intangibles of $8.01 million for Q2 2026, up 1.7% from $7.88 million a year earlier and up 133.5% from the prior quarter.
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Analysis
Par Technology (PAR) Amortization - Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Par Technology was $18.2 million, up 8.9% year-over-year; for FY2025, it was $13.41 million, up 58.6% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 63.1% (FY2020 to FY2025).
- In prior years, Par Technology's Amortization - Intangibles was $8.45 million in FY2024 (+354.9%), $1.86 million in FY2023 (-0.3%), $1.86 million in FY2022 (+2.1%) and $1.83 million in FY2021 (+56.9%).
- The Q2 2026 figure stands as the highest quarterly Amortization - Intangibles in data going back to Q2 2010.
- On a year-over-year basis, Amortization - Intangibles has increased in each of the last 11 quarters, with growth averaging 200.5% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q4 2024, with growth of 518.3%; the weakest was Q2 2023, with a decline of 35.5%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $3.43 million (Q1 2026), $3.37 million (Q4 2025) and $3.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Par Technology | 568.32 Mn | 239.42 Mn | 56.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.01 Mn |
| Mar 31, 2026 | 3.43 Mn |
| Dec 31, 2025 | 3.37 Mn |
| Sep 30, 2025 | 3.39 Mn |
| Jun 30, 2025 | 7.88 Mn |
| Mar 31, 2025 | 3.26 Mn |
| Dec 31, 2024 | 2.88 Mn |
| Sep 30, 2024 | 2.70 Mn |
| Jun 30, 2024 | 1.95 Mn |
| Mar 31, 2024 | 932,000.00 |
| Dec 31, 2023 | 465,000.00 |
| Sep 30, 2023 | 464,000.00 |
| Jun 30, 2023 | 465,000.00 |
| Mar 31, 2023 | 464,000.00 |
| Dec 31, 2022 | 464,000.00 |
| Sep 30, 2022 | 465,000.00 |
| Jun 30, 2022 | 721,000.00 |
| Mar 31, 2022 | 213,000.00 |
| Dec 31, 2021 | 522,000.00 |
| Sep 30, 2021 | 539,000.00 |
API Access
Par Technology Amortization - 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=amortization-intangibles&ticker=PAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();