Moelis (MC) EBITDA (2013 - 2026)
Moelis' EBITDA was $77.03 million in Q2 2026, up 21.5% from $63.39 million a year earlier and up 75.1% from the prior quarter.
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Analysis
Moelis (MC) EBITDA (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Moelis' EBITDA was $303.68 million through Jun 30, 2026, up 18.7% year-over-year; for FY2025, it came in at $285.74 million, up 55.8% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In earlier years, EBITDA was $183.39 million in FY2024, -$32.04 million in FY2023, $224.08 million in FY2022 (-55.5%) and $503.16 million in FY2021 (+86.1%).
- Quarterly EBITDA has moved between -$18.01 million (Q3 2023) and $155.32 million (Q4 2021) over five years.
- Compared with a year earlier, EBITDA was higher in five of the last six quarters, with growth averaging 129.4%.
- The best year-over-year quarter for EBITDA over five years was Q1 2025 (growth of 385.4%); the worst was Q1 2023 (a decline of 99.3%).
- Per Business Quant data, MC's EBITDA in the three quarters before Q2 2026 was $43.99 million (Q1 2026), $131.37 million (Q4 2025) and $51.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 1.19 Bn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 1.78 Bn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 891.00 Mn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 877.00 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 2.65 Bn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 504.10 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 801.19 Mn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 306.75 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 64.26 Mn |
| 10 | Moelis | 4.08 Bn | 2.93 Bn | - | 77.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.03 Mn |
| Mar 31, 2026 | 43.99 Mn |
| Dec 31, 2025 | 131.37 Mn |
| Sep 30, 2025 | 51.29 Mn |
| Jun 30, 2025 | 63.39 Mn |
| Mar 31, 2025 | 39.69 Mn |
| Dec 31, 2024 | 134.34 Mn |
| Sep 30, 2024 | 18.37 Mn |
| Jun 30, 2024 | 22.50 Mn |
| Mar 31, 2024 | 8.18 Mn |
| Dec 31, 2023 | -7.06 Mn |
| Sep 30, 2023 | -18.01 Mn |
| Jun 30, 2023 | -7.65 Mn |
| Mar 31, 2023 | 682,000.00 |
| Dec 31, 2022 | 31.60 Mn |
| Sep 30, 2022 | 36.97 Mn |
| Jun 30, 2022 | 64.04 Mn |
| Mar 31, 2022 | 91.47 Mn |
| Dec 31, 2021 | 155.32 Mn |
| Sep 30, 2021 | 154.10 Mn |
API Access
Moelis 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=MC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MC", "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=MC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();