Moelis (MC) Capital Expenditures (2013 - 2026)
Moelis (MC) recorded Capital Expenditures of $13.67 million in Q2 2026, up 187.6% from $4.75 million a year earlier and up 6.9% from the prior quarter.
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Analysis
Moelis (MC) Capital Expenditures (2013 - 2026) Analysis & Trends
On a TTM basis, Moelis' Capital Expenditures came in at $54.93 million as of Jun 30, 2026, up 348.6% year-over-year; for FY2025, it was $36.33 million, up 200.4% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $12.09 million in FY2024 (-27.6%), $16.7 million in FY2023 (+180.3%), $5.96 million in FY2022 (-63.7%) and $16.43 million in FY2021 (-59.6%).
- Quarterly Capital Expenditures has ranged from $336,000 in Q2 2022 to $19.32 million in Q3 2025 over the past five years.
- On a year-over-year basis, Capital Expenditures has increased for five consecutive quarters, with growth averaging 196.8% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 829.9% in Q3 2025, against a decline of 94.9% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.79 million (Q1 2026), $9.16 million (Q4 2025) and $19.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 23.60 Mn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 144.00 Mn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 12.00 Mn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 77.00 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 18.00 Mn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 33.10 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 199.45 Mn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 8.33 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 1.03 Mn |
| 10 | Moelis | 4.08 Bn | 2.93 Bn | - | 13.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.67 Mn |
| Mar 31, 2026 | 12.79 Mn |
| Dec 31, 2025 | 9.16 Mn |
| Sep 30, 2025 | 19.32 Mn |
| Jun 30, 2025 | 4.75 Mn |
| Mar 31, 2025 | 3.10 Mn |
| Dec 31, 2024 | 2.31 Mn |
| Sep 30, 2024 | 2.08 Mn |
| Jun 30, 2024 | 2.34 Mn |
| Mar 31, 2024 | 5.37 Mn |
| Dec 31, 2023 | 5.28 Mn |
| Sep 30, 2023 | 4.73 Mn |
| Jun 30, 2023 | 5.58 Mn |
| Mar 31, 2023 | 1.10 Mn |
| Dec 31, 2022 | 2.03 Mn |
| Sep 30, 2022 | 1.13 Mn |
| Jun 30, 2022 | 336,000.00 |
| Mar 31, 2022 | 2.46 Mn |
| Dec 31, 2021 | 4.54 Mn |
| Sep 30, 2021 | 1.79 Mn |
API Access
Moelis Capital Expenditures 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=capital-expenditures&ticker=MC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();