Procore Technologies (PCOR) Non Operating Interest Expenses (2020 - 2026)
Procore Technologies' Non Operating Interest Expenses came in at $179,000 for Q2 2026, down 39.9% from $298,000 a year earlier and down 33.2% from the prior quarter.
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Analysis
Procore Technologies (PCOR) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Procore Technologies reported Non Operating Interest Expenses of $1.02 million, down 33.6% year-over-year; for FY2025, it was $1.15 million, down 39.3% from FY2024.
- Non Operating Interest Expenses has declined in each of the last five years, with a five-year compound annual growth rate of -13.3% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $1.9 million in FY2024 (-3.0%), $1.96 million in FY2023 (-8.3%), $2.14 million in FY2022 (-8.3%) and $2.33 million in FY2021 (-1.1%).
- The Q2 2026 figure represents the lowest quarterly Non Operating Interest Expenses in data going back to Q2 2020.
- Year-over-year, Non Operating Interest Expenses has declined for 17 consecutive quarters, with an average decline of 25.9% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2022 (growth of 0.5%), and the weakest in Q3 2025 (a decline of 43.4%).
- Business Quant data shows PCOR's Non Operating Interest Expenses at $268,000 (Q1 2026), $294,000 (Q4 2025) and $276,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.02 Bn | 22.27 Bn | 695.95 Mn | - |
| 3 | Samsara | 23.00 Bn | 19.77 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.14 Bn | 20.95 Bn | 490.47 Mn | 15.80 Mn |
| 5 | Toast | 18.25 Bn | 10.92 Bn | 516.00 Mn | - |
| 6 | Trimble | 13.93 Bn | 12.99 Bn | 674.90 Mn | 20.90 Mn |
| 7 | Manhattan Associates | 13.02 Bn | 12.01 Bn | 168.33 Mn | - |
| 8 | Costar | 12.82 Bn | 6.77 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 11.06 Bn | 10.52 Bn | 336.74 Mn | - |
| 10 | Procore Technologies | 8.51 Bn | 5.81 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 Non Operating 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=non-operating-interest-expenses&ticker=PCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();