CCC Intelligent Solutions Holdings (CCC) EBITDA (2020 - 2026)
CCC Intelligent Solutions Holdings (CCC) recorded EBITDA of $84.43 million in Q2 2026, up 38.1% from $61.13 million a year earlier but down 0.8% from the prior quarter.
CCC Intelligent Solutions Holdings (CCC) EBITDA (2020 - 2026) Analysis & Trends
On a TTM basis, CCC Intelligent Solutions Holdings' EBITDA came in at $326.74 million as of Jun 30, 2026, up 66.1% year-over-year; for FY2025, it was $244.12 million, up 19.8% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $203.78 million in FY2024 (+82.9%), $111.41 million in FY2023 (-37.8%), $179.07 million in FY2022 and -$17.86 million in FY2021.
- Quarterly EBITDA has ranged from -$155.98 million in Q3 2021 to $87.36 million in Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA has increased for five consecutive quarters, with growth averaging 43.3% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 230.1% in Q1 2026, against a decline of 38.3% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $85.09 million (Q1 2026), $87.36 million (Q4 2025) and $69.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 188.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 190.70 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 38.19 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 67.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 191.00 Mn |
| 10 | CCC Intelligent Solutions Holdings | 3.89 Bn | 3.53 Bn | 210.64 Mn | 84.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.43 Mn |
| Mar 31, 2026 | 85.09 Mn |
| Dec 31, 2025 | 87.36 Mn |
| Sep 30, 2025 | 69.86 Mn |
| Jun 30, 2025 | 61.13 Mn |
| Mar 31, 2025 | 25.78 Mn |
| Dec 31, 2024 | 52.61 Mn |
| Sep 30, 2024 | 57.16 Mn |
| Jun 30, 2024 | 52.26 Mn |
| Mar 31, 2024 | 41.75 Mn |
| Dec 31, 2023 | 52.75 Mn |
| Sep 30, 2023 | 51.14 Mn |
| Jun 30, 2023 | -39.76 Mn |
| Mar 31, 2023 | 47.29 Mn |
| Dec 31, 2022 | 42.28 Mn |
| Sep 30, 2022 | 49.01 Mn |
| Jun 30, 2022 | 44.49 Mn |
| Mar 31, 2022 | 44.71 Mn |
| Dec 31, 2021 | 46.77 Mn |
| Sep 30, 2021 | -155.98 Mn |
CCC Intelligent Solutions Holdings 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=CCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "CCC", "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=CCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();