Costar (CSGP) EBITDA (2011 - 2026)
Costar's EBITDA came in at $191 million for Q2 2026, up 154.7% from $75 million a year earlier and up 66.1% from the prior quarter.
Costar (CSGP) EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Costar reported EBITDA of $528.1 million, up 70.6% year-over-year; for FY2025, it was $332 million, up 23.4% from FY2024.
- EBITDA carries a five-year compound annual growth rate of -6.6% (FY2020 to FY2025).
- Going back by year, EBITDA was $269 million in FY2024 (-44.5%), $485 million in FY2023 (-27.1%), $665 million in FY2022 (+4.7%) and $635.3 million in FY2021 (+36.1%).
- The Q2 2026 figure represents the highest quarterly EBITDA since Q4 2021.
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 63.5% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q1 2026 (growth of 228.6%), and the weakest in Q1 2024 (a decline of 85.2%).
- Business Quant data shows CSGP's EBITDA at $115 million (Q1 2026), $160.7 million (Q4 2025) and $61.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 188.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 190.70 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | 38.19 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 67.86 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 191.00 Mn |
| 10 | Bentley Systems | 9.39 Bn | 8.85 Bn | 336.74 Mn | 104.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191.00 Mn |
| Mar 31, 2026 | 115.00 Mn |
| Dec 31, 2025 | 160.70 Mn |
| Sep 30, 2025 | 61.40 Mn |
| Jun 30, 2025 | 75.00 Mn |
| Mar 31, 2025 | 35.00 Mn |
| Dec 31, 2024 | 110.60 Mn |
| Sep 30, 2024 | 89.00 Mn |
| Jun 30, 2024 | 51.80 Mn |
| Mar 31, 2024 | 17.70 Mn |
| Dec 31, 2023 | 123.40 Mn |
| Sep 30, 2023 | 113.20 Mn |
| Jun 30, 2023 | 128.60 Mn |
| Mar 31, 2023 | 119.70 Mn |
| Dec 31, 2022 | 175.86 Mn |
| Sep 30, 2022 | 150.56 Mn |
| Jun 30, 2022 | 160.53 Mn |
| Mar 31, 2022 | 178.05 Mn |
| Dec 31, 2021 | 194.23 Mn |
| Sep 30, 2021 | 139.49 Mn |
Costar EBITDA 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=ebitda&ticker=CSGP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CSGP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();