Procore Technologies (PCOR) Interest Expenses (2020 - 2026)
Procore Technologies' (PCOR) quarterly Interest Expenses came in at $179000.0 in Q2 2026, down 39.93% year-over-year from $298000.0 in Q2 2025, and down 33.21% quarter-over-quarter from $268000.0 in Q1 2026.
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Analysis
Procore Technologies (PCOR) Interest Expenses (2020 - 2026) Analysis & Trends
Procore Technologies has disclosed Interest Expenses across 7 years of filings, most recently posting $179000.0 for Q2 2026.
- In Q2 2026, Interest Expenses fell 39.93% year-over-year to $179000.0; the TTM figure through Jun 2026 stood at $1.0 million (down 33.57% YoY), while the FY2025 annual figure was $1.2 million, down 39.28% from the prior year.
- Interest Expenses came in at $179000.0 for Q2 2026 at Procore Technologies, down from $268000.0 in the prior quarter.
- In the past five years, Interest Expenses ranged from a high of $567000.0 in Q2 2022 to a low of $179000.0 in Q2 2026.
- Average Interest Expenses over 5 years is $421722.2, with a median of $479500.0 recorded in 2023.
- Year-over-year, Interest Expenses gained 0.53% in 2022 and sank 43.44% in 2025.
- Over 5 years, Interest Expenses stood at $499000.0 in 2022, then decreased by 3.81% to $480000.0 in 2023, then dropped by 4.17% to $460000.0 in 2024, then tumbled by 36.09% to $294000.0 in 2025, then sank by 39.12% to $179000.0 in 2026.
- Per Business Quant data, the three most recent Interest Expenses figures were $179000.0 in Q2 2026, $268000.0 in Q1 2026, and $294000.0 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | - |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | - |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | - |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | 15.80 Mn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | 20.90 Mn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | - |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | - |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | - |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn | 179,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 179,000.00 |
| Mar 31, 2026 | 268,000.00 |
| Dec 31, 2025 | 294,000.00 |
| Sep 30, 2025 | 276,000.00 |
| Jun 30, 2025 | 298,000.00 |
| Mar 31, 2025 | 285,000.00 |
| Dec 31, 2024 | 460,000.00 |
| Sep 30, 2024 | 488,000.00 |
| Jun 30, 2024 | 472,000.00 |
| Mar 31, 2024 | 479,000.00 |
| Dec 31, 2023 | 480,000.00 |
| Sep 30, 2023 | 490,000.00 |
| Jun 30, 2023 | 491,000.00 |
| Mar 31, 2023 | 496,000.00 |
| Dec 31, 2022 | 499,000.00 |
| Sep 30, 2022 | 504,000.00 |
| Jun 30, 2022 | 567,000.00 |
| Mar 31, 2022 | 565,000.00 |
| Dec 31, 2021 | 569,000.00 |
| Sep 30, 2021 | 572,000.00 |
API Access
Procore Technologies Interest Expenses 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=interest-expenses&ticker=PCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();