Moelis (MC) Shares Outstanding (Diluted) (2014 - 2026)
Moelis (MC) reported Shares Outstanding (Diluted) of 79 million for Q2 2026, up 0.5% from 78.64 million a year earlier but down 0.6% from the prior quarter.
Moelis (MC) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
For FY2025, Moelis posted Shares Outstanding (Diluted) of 79.23 million, up 3.4% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 76.61 million in FY2024 (+11.8%), 68.5 million in FY2023 (-2.6%), 70.32 million in FY2022 (+2.8%) and 68.44 million in FY2021 (+12.7%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 68.27 million in Q3 2021 and a high of 79.67 million in Q3 2025.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last ten quarters, with growth averaging 5.1% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 12.7%); the low point was Q4 2023 (a decline of 2.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 79.48 million (Q1 2026), 79.23 million (Q4 2025) and 79.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - | 361.28 Mn |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - | 566.00 Mn |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - | 912.00 Mn |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn | 567.75 Mn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - | 450.09 Mn |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn | 104.90 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 80.03 Mn |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - | 212.80 Mn |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn | 268.64 Mn |
| 10 | Moelis | 4.08 Bn | 2.93 Bn | - | 79.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.00 Mn |
| Mar 31, 2026 | 79.48 Mn |
| Dec 31, 2025 | 79.23 Mn |
| Sep 30, 2025 | 79.67 Mn |
| Jun 30, 2025 | 78.64 Mn |
| Mar 31, 2025 | 78.56 Mn |
| Dec 31, 2024 | 76.61 Mn |
| Sep 30, 2024 | 76.91 Mn |
| Jun 30, 2024 | 75.79 Mn |
| Mar 31, 2024 | 75.10 Mn |
| Dec 31, 2023 | 68.50 Mn |
| Sep 30, 2023 | 68.75 Mn |
| Jun 30, 2023 | 68.50 Mn |
| Mar 31, 2023 | 71.46 Mn |
| Dec 31, 2022 | 70.32 Mn |
| Sep 30, 2022 | 69.83 Mn |
| Jun 30, 2022 | 69.81 Mn |
| Mar 31, 2022 | 70.00 Mn |
| Dec 31, 2021 | 68.44 Mn |
| Sep 30, 2021 | 68.27 Mn |
Moelis Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=MC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();