Procore Technologies (PCOR) Intangibles (2020 - 2026)
Procore Technologies' Intangibles was $293.67 million in Q2 2026, up 133.1% from $125.97 million a year earlier and up 95.3% from the prior quarter.
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Analysis
Procore Technologies (PCOR) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Procore Technologies came in at $105.36 million, down 12.9% from FY2024.
- Intangibles has now declined for four consecutive years, though with a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- In earlier years, Intangibles was $120.95 million in FY2024 (-12.1%), $137.55 million in FY2023 (-15.6%), $162.95 million in FY2022 (-19.3%) and $201.98 million in FY2021 (+507.6%).
- The Q2 2026 figure marks the highest quarterly Intangibles in data going back to Q4 2020.
- Compared with a year earlier, Intangibles was higher in three of the last eight quarters, with growth averaging 11.5%.
- The best year-over-year quarter for Intangibles over five years was Q4 2021 (growth of 507.6%); the worst was Q2 2023 (a decline of 20.8%).
- Per Business Quant data, PCOR's Intangibles in the three quarters before Q2 2026 was $150.37 million (Q1 2026), $105.36 million (Q4 2025) and $114.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.88 Bn | 23.13 Bn | 695.95 Mn | 55.65 Mn |
| 3 | Samsara | 24.90 Bn | 21.68 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.15 Bn | 20.97 Bn | 490.47 Mn | 765.80 Mn |
| 5 | Toast | 18.57 Bn | 11.24 Bn | 516.00 Mn | 11.00 Mn |
| 6 | Trimble | 14.20 Bn | 13.26 Bn | 674.90 Mn | 850.40 Mn |
| 7 | Manhattan Associates | 13.35 Bn | 12.35 Bn | 168.33 Mn | - |
| 8 | Costar | 12.94 Bn | 6.89 Bn | 728.00 Mn | 1.67 Bn |
| 9 | Bentley Systems | 11.31 Bn | 10.77 Bn | 336.74 Mn | 168.96 Mn |
| 10 | Procore Technologies | 8.93 Bn | 6.23 Bn | 299.80 Mn | 293.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 293.67 Mn |
| Mar 31, 2026 | 150.37 Mn |
| Dec 31, 2025 | 105.36 Mn |
| Sep 30, 2025 | 114.28 Mn |
| Jun 30, 2025 | 125.97 Mn |
| Mar 31, 2025 | 137.87 Mn |
| Dec 31, 2024 | 120.95 Mn |
| Sep 30, 2024 | 131.75 Mn |
| Jun 30, 2024 | 142.29 Mn |
| Mar 31, 2024 | 127.75 Mn |
| Dec 31, 2023 | 137.55 Mn |
| Sep 30, 2023 | 144.23 Mn |
| Jun 30, 2023 | 144.52 Mn |
| Mar 31, 2023 | 153.62 Mn |
| Dec 31, 2022 | 162.95 Mn |
| Sep 30, 2022 | 172.30 Mn |
| Jun 30, 2022 | 182.50 Mn |
| Mar 31, 2022 | 192.50 Mn |
| Dec 31, 2021 | 201.98 Mn |
| Sep 30, 2021 | 41.19 Mn |
API Access
Procore Technologies Intangibles 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=intangibles&ticker=PCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();