Procore Technologies (PCOR) Long-Term Debt Repayments (2020 - 2026)
Procore Technologies' Long-Term Debt Repayments came in at $304,000 for Q2 2026, down 26.2% from $412,000 a year earlier and down 28.3% from the prior quarter.
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Analysis
Procore Technologies (PCOR) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Procore Technologies reported Long-Term Debt Repayments of $1.56 million, down 26.0% year-over-year; for FY2025, it came in at $1.64 million, down 26.3% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $2.22 million in FY2024 (+8.1%), $2.05 million in FY2023 (+7.8%), $1.91 million in FY2022 (+11.5%) and $1.71 million in FY2021 (+10.9%).
- The Q2 2026 figure represents the lowest quarterly Long-Term Debt Repayments in data going back to Q3 2020.
- Year-over-year, Long-Term Debt Repayments increased in four of the last eight quarters, with an average decline of 6.5%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2024 (growth of 43.1%), and the weakest in Q3 2025 (a decline of 44.1%).
- Business Quant data shows PCOR's Long-Term Debt Repayments at $424,000 (Q1 2026), $420,000 (Q4 2025) and $416,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.17 Bn | 22.41 Bn | 695.95 Mn | - |
| 3 | Samsara | 23.13 Bn | 19.90 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.14 Bn | 20.95 Bn | 490.47 Mn | - |
| 5 | Toast | 18.35 Bn | 11.02 Bn | 516.00 Mn | - |
| 6 | Trimble | 13.95 Bn | 13.02 Bn | 674.90 Mn | 582.50 Mn |
| 7 | Manhattan Associates | 13.07 Bn | 12.07 Bn | 168.33 Mn | - |
| 8 | Costar | 12.79 Bn | 6.74 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 11.07 Bn | 10.53 Bn | 336.74 Mn | 691.93 Mn |
| 10 | Procore Technologies | 8.51 Bn | 5.81 Bn | 299.80 Mn | 304,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 304,000.00 |
| Mar 31, 2026 | 424,000.00 |
| Dec 31, 2025 | 420,000.00 |
| Sep 30, 2025 | 416,000.00 |
| Jun 30, 2025 | 412,000.00 |
| Mar 31, 2025 | 388,000.00 |
| Dec 31, 2024 | 1.02 Mn |
| Sep 30, 2024 | 1.64 Mn |
| Jun 30, 2024 | 596,000.00 |
| Mar 31, 2024 | 981,000.00 |
| Dec 31, 2023 | 921,000.00 |
| Sep 30, 2023 | 1.04 Mn |
| Jun 30, 2023 | 1.04 Mn |
| Mar 31, 2023 | 906,000.00 |
| Dec 31, 2022 | 861,000.00 |
| Sep 30, 2022 | 971,000.00 |
| Jun 30, 2022 | 960,000.00 |
| Mar 31, 2022 | 819,000.00 |
| Dec 31, 2021 | 776,000.00 |
| Sep 30, 2021 | 866,000.00 |
API Access
Procore Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();