Procore Technologies (PCOR) Total Current Liabilities (2020 - 2026)
Procore Technologies' Total Current Liabilities came in at $891.16 million for Q2 2026, up 26.2% from $705.88 million a year earlier and up 10.4% from the prior quarter.
Procore Technologies (PCOR) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Procore Technologies' Total Current Liabilities was $884.56 million, up 21.5% from FY2024.
- Total Current Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 27.6% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $728.03 million in FY2024 (+13.3%), $642.43 million in FY2023 (+20.8%), $531.64 million in FY2022 (+31.7%) and $403.7 million in FY2021 (+54.3%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- Year-over-year, Total Current Liabilities has increased for 17 consecutive quarters, with growth averaging 17.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Current Liabilities ranged from 13.0% (Q2 2025) to 54.3% (Q4 2021).
- Business Quant data shows PCOR's Total Current Liabilities at $807.24 million (Q1 2026), $884.56 million (Q4 2025) and $753.98 million (Q3 2025) in the three quarters before Q2 2026.
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 | 50.19 Bn | 22.44 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 23.08 Bn | 19.85 Bn | 392.58 Mn | 968.09 Mn |
| 4 | Ptc | 22.13 Bn | 20.95 Bn | 490.47 Mn | 1.34 Bn |
| 5 | Toast | 18.36 Bn | 11.03 Bn | 516.00 Mn | 1.10 Bn |
| 6 | Trimble | 13.91 Bn | 12.97 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Manhattan Associates | 13.13 Bn | 12.13 Bn | 168.33 Mn | 475.05 Mn |
| 8 | Costar | 12.81 Bn | 6.76 Bn | 728.00 Mn | 747.00 Mn |
| 9 | Bentley Systems | 10.98 Bn | 10.44 Bn | 336.74 Mn | 988.14 Mn |
| 10 | Procore Technologies | 8.49 Bn | 5.79 Bn | 299.80 Mn | 891.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 891.16 Mn |
| Mar 31, 2026 | 807.24 Mn |
| Dec 31, 2025 | 884.56 Mn |
| Sep 30, 2025 | 753.98 Mn |
| Jun 30, 2025 | 705.88 Mn |
| Mar 31, 2025 | 685.60 Mn |
| Dec 31, 2024 | 728.03 Mn |
| Sep 30, 2024 | 649.02 Mn |
| Jun 30, 2024 | 624.78 Mn |
| Mar 31, 2024 | 594.98 Mn |
| Dec 31, 2023 | 642.43 Mn |
| Sep 30, 2023 | 561.56 Mn |
| Jun 30, 2023 | 519.89 Mn |
| Mar 31, 2023 | 514.69 Mn |
| Dec 31, 2022 | 531.64 Mn |
| Sep 30, 2022 | 458.90 Mn |
| Jun 30, 2022 | 419.36 Mn |
| Mar 31, 2022 | 408.62 Mn |
| Dec 31, 2021 | 403.70 Mn |
| Sep 30, 2021 | 317.50 Mn |
Procore Technologies 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=PCOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "PCOR", "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=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();