Par Technology (PAR) Total Non-Current Liabilities (2010 - 2026)
Par Technology (PAR) reported Total Non-Current Liabilities of $536.53 million for Q2 2026, up 5.5% from $508.47 million a year earlier but down 1.5% from the prior quarter.
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Analysis
Par Technology (PAR) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Par Technology posted Total Non-Current Liabilities of $523.08 million, up 7.2% from FY2024.
- Total Non-Current Liabilities has increased for eight consecutive years, with a five-year compound annual growth rate of 28.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $487.77 million in FY2024 (+4.7%), $465.94 million in FY2023 (+0.2%), $465.01 million in FY2022 (+23.5%) and $376.4 million in FY2021 (+150.4%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $372.42 million in Q3 2021 and a high of $583.37 million in Q3 2024.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 6.6% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2022 (growth of 191.0%); the low point was Q3 2025 (a decline of 11.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $544.95 million (Q1 2026), $523.08 million (Q4 2025) and $516.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Par Technology | 564.19 Mn | 235.29 Mn | 56.58 Mn | 536.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 536.53 Mn |
| Mar 31, 2026 | 544.95 Mn |
| Dec 31, 2025 | 523.08 Mn |
| Sep 30, 2025 | 516.14 Mn |
| Jun 30, 2025 | 508.47 Mn |
| Mar 31, 2025 | 506.84 Mn |
| Dec 31, 2024 | 487.77 Mn |
| Sep 30, 2024 | 583.37 Mn |
| Jun 30, 2024 | 464.19 Mn |
| Mar 31, 2024 | 477.69 Mn |
| Dec 31, 2023 | 465.94 Mn |
| Sep 30, 2023 | 471.80 Mn |
| Jun 30, 2023 | 467.60 Mn |
| Mar 31, 2023 | 463.31 Mn |
| Dec 31, 2022 | 465.01 Mn |
| Sep 30, 2022 | 462.04 Mn |
| Jun 30, 2022 | 458.12 Mn |
| Mar 31, 2022 | 454.60 Mn |
| Dec 31, 2021 | 376.40 Mn |
| Sep 30, 2021 | 372.42 Mn |
API Access
Par Technology Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();