Moelis (MC) Operating Expenses (2013 - 2026)
Moelis (MC) reported Operating Expenses of $336.56 million for Q2 2026, up 10.4% from $304.75 million a year earlier and up 20.5% from the prior quarter.
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Analysis
Moelis (MC) Operating Expenses (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Moelis' Operating Expenses came in at $1.28 billion, up 12.7% year-over-year; for FY2025, it was $1.24 billion, up 21.7% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $1.02 billion in FY2024 (+14.1%), $895.1 million in FY2023 (+16.4%), $769.2 million in FY2022 (-26.4%) and $1.04 billion in FY2021 (+54.2%).
- Five-year quarterly Operating Expenses spans a low of $177.76 million in Q4 2022 and a high of $359.93 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last seven quarters, with growth averaging 16.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 117.6%); the low point was Q3 2022 (a decline of 41.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $279.28 million (Q1 2026), $359.93 million (Q4 2025) and $308.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 599.10 Mn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 1.28 Bn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 734.00 Mn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 788.00 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 440.00 Mn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 255.60 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 4.67 Bn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 313.68 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 254.49 Mn |
| 10 | Moelis | 4.08 Bn | 2.93 Bn | - | 336.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 336.56 Mn |
| Mar 31, 2026 | 279.28 Mn |
| Dec 31, 2025 | 359.93 Mn |
| Sep 30, 2025 | 308.58 Mn |
| Jun 30, 2025 | 304.75 Mn |
| Mar 31, 2025 | 269.68 Mn |
| Dec 31, 2024 | 307.21 Mn |
| Sep 30, 2024 | 258.19 Mn |
| Jun 30, 2024 | 244.52 Mn |
| Mar 31, 2024 | 211.68 Mn |
| Dec 31, 2023 | 224.23 Mn |
| Sep 30, 2023 | 292.21 Mn |
| Jun 30, 2023 | 189.46 Mn |
| Mar 31, 2023 | 189.21 Mn |
| Dec 31, 2022 | 177.76 Mn |
| Sep 30, 2022 | 198.46 Mn |
| Jun 30, 2022 | 180.32 Mn |
| Mar 31, 2022 | 212.66 Mn |
| Dec 31, 2021 | 271.91 Mn |
| Sep 30, 2021 | 338.67 Mn |
API Access
Moelis 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=MC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();