Par Technology (PAR) Total Current Liabilities (2010 - 2026)
Par Technology (PAR) posted Total Current Liabilities of $105.06 million for Q2 2026, down 18.5% from $128.94 million a year earlier and down 7.9% from the prior quarter.
Par Technology (PAR) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Par Technology's Total Current Liabilities came in at $140.74 million, up 25.8% from FY2024.
- Annual Total Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 28.6% (FY2020 to FY2025).
- In prior years, Par Technology's Total Current Liabilities was $111.84 million in FY2024 (+39.4%), $80.23 million in FY2023 (+18.3%), $67.82 million in FY2022 (+12.1%) and $60.52 million in FY2021 (+51.4%).
- The Q2 2026 figure stands as the lowest quarterly Total Current Liabilities since Q2 2024.
- On a year-over-year basis, Total Current Liabilities increased in seven of the last eight quarters, with growth averaging 22.3%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2025, with growth of 63.0%; the weakest was Q2 2026, with a decline of 18.5%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $114.13 million (Q1 2026), $140.74 million (Q4 2025) and $133.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 968.09 Mn |
| 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 | 1.34 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 577.83 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 475.05 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 747.00 Mn |
| 10 | Par Technology | 564.19 Mn | 235.29 Mn | 56.58 Mn | 105.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.06 Mn |
| Mar 31, 2026 | 114.13 Mn |
| Dec 31, 2025 | 140.74 Mn |
| Sep 30, 2025 | 133.87 Mn |
| Jun 30, 2025 | 128.94 Mn |
| Mar 31, 2025 | 107.50 Mn |
| Dec 31, 2024 | 111.84 Mn |
| Sep 30, 2024 | 109.34 Mn |
| Jun 30, 2024 | 79.10 Mn |
| Mar 31, 2024 | 93.72 Mn |
| Dec 31, 2023 | 80.23 Mn |
| Sep 30, 2023 | 87.25 Mn |
| Jun 30, 2023 | 83.50 Mn |
| Mar 31, 2023 | 64.80 Mn |
| Dec 31, 2022 | 67.82 Mn |
| Sep 30, 2022 | 65.76 Mn |
| Jun 30, 2022 | 61.56 Mn |
| Mar 31, 2022 | 58.34 Mn |
| Dec 31, 2021 | 60.52 Mn |
| Sep 30, 2021 | 60.47 Mn |
Par Technology Total 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-current-liabilities&ticker=PAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();