Moelis (MC) Total Liabilities (2013 - 2026)
Moelis' Total Liabilities was $766.6 million in Q2 2026, up 2.7% from $746.53 million a year earlier and up 14.9% from the prior quarter.
Powered by 
Analysis
Moelis (MC) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Moelis came in at $1.06 billion, up 17.9% from FY2024.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $899.55 million in FY2024 (+10.1%), $817.3 million in FY2023 (+7.8%), $757.93 million in FY2022 (-29.7%) and $1.08 billion in FY2021 (+43.3%).
- Quarterly Total Liabilities has moved between $556.92 million (Q1 2023) and $1.08 billion (Q4 2021) over five years.
- Compared with a year earlier, Total Liabilities has increased for 12 straight quarters, with growth averaging 8.9% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2021 (growth of 43.3%); the worst was Q4 2022 (a decline of 29.7%).
- Per Business Quant data, MC's Total Liabilities in the three quarters before Q2 2026 was $666.98 million (Q1 2026), $1.06 billion (Q4 2025) and $898.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.51 Bn | 94.61 Bn | - | 168.16 Bn |
| 2 | Robinhood Markets | 88.87 Bn | 69.90 Bn | - | 47.01 Bn |
| 3 | Intercontinental Exchange | 88.53 Bn | 82.26 Bn | - | 144.63 Bn |
| 4 | Nasdaq | 53.16 Bn | 50.59 Bn | 1.50 Bn | 15.35 Bn |
| 5 | Interactive Brokers | 36.96 Bn | 14.08 Bn | - | 225.06 Bn |
| 6 | Cboe Global Markets | 32.93 Bn | 24.59 Bn | 731.60 Mn | 4.98 Bn |
| 7 | LPL Financial Holdings | 25.70 Bn | 21.02 Bn | - | 14.03 Bn |
| 8 | Tradeweb Markets | 25.40 Bn | 17.41 Bn | - | 912.69 Mn |
| 9 | Circle Internet | 21.35 Bn | 15.23 Bn | 288.85 Mn | 73.66 Bn |
| 10 | Moelis | 4.08 Bn | 2.93 Bn | - | 766.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 766.60 Mn |
| Mar 31, 2026 | 666.98 Mn |
| Dec 31, 2025 | 1.06 Bn |
| Sep 30, 2025 | 898.61 Mn |
| Jun 30, 2025 | 746.53 Mn |
| Mar 31, 2025 | 640.46 Mn |
| Dec 31, 2024 | 899.55 Mn |
| Sep 30, 2024 | 757.96 Mn |
| Jun 30, 2024 | 666.38 Mn |
| Mar 31, 2024 | 619.71 Mn |
| Dec 31, 2023 | 817.30 Mn |
| Sep 30, 2023 | 740.38 Mn |
| Jun 30, 2023 | 612.24 Mn |
| Mar 31, 2023 | 556.92 Mn |
| Dec 31, 2022 | 757.93 Mn |
| Sep 30, 2022 | 713.53 Mn |
| Jun 30, 2022 | 671.33 Mn |
| Mar 31, 2022 | 652.36 Mn |
| Dec 31, 2021 | 1.08 Bn |
| Sep 30, 2021 | 913.64 Mn |
API Access
Moelis Total Liabilities 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=total-liabilities&ticker=MC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();