Costar (CSGP) Operating Expenses (2010 - 2026)
Costar (CSGP) posted Operating Expenses of $652 million for Q2 2026, up 1.9% from $640 million a year earlier but down 6.6% from the prior quarter.
Costar (CSGP) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Costar was $2.72 billion, up 17.3% year-over-year; for FY2025, it was $2.63 billion, up 21.2% from FY2024.
- Annual Operating Expenses has increased for 16 consecutive years, with a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- In prior years, Costar's Operating Expenses was $2.17 billion in FY2024 (+29.2%), $1.68 billion in FY2023 (+27.7%), $1.32 billion in FY2022 (+14.1%) and $1.15 billion in FY2021 (+8.8%).
- Quarterly Operating Expenses has run from a low of $280.11 million in Q4 2021 to a high of $712.5 million in Q3 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 18 quarters, with growth averaging 17.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2024, with growth of 42.0%; the weakest was Q4 2021, with a decline of 9.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $698 million (Q1 2026), $658.1 million (Q4 2025) and $712.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 182.80 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 542.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Bentley Systems | 9.64 Bn | 9.10 Bn | 336.74 Mn | 248.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 652.00 Mn |
| Mar 31, 2026 | 698.00 Mn |
| Dec 31, 2025 | 658.10 Mn |
| Sep 30, 2025 | 712.50 Mn |
| Jun 30, 2025 | 640.00 Mn |
| Mar 31, 2025 | 622.00 Mn |
| Dec 31, 2024 | 528.50 Mn |
| Sep 30, 2024 | 528.30 Mn |
| Jun 30, 2024 | 558.10 Mn |
| Mar 31, 2024 | 558.00 Mn |
| Dec 31, 2023 | 435.30 Mn |
| Sep 30, 2023 | 439.40 Mn |
| Jun 30, 2023 | 414.40 Mn |
| Mar 31, 2023 | 393.00 Mn |
| Dec 31, 2022 | 336.95 Mn |
| Sep 30, 2022 | 363.23 Mn |
| Jun 30, 2022 | 325.15 Mn |
| Mar 31, 2022 | 292.07 Mn |
| Dec 31, 2021 | 280.11 Mn |
| Sep 30, 2021 | 316.99 Mn |
Costar Operating 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=operating-expenses&ticker=CSGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CSGP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=CSGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();