Morgan Stanley Direct Lending Fund (MSDL) Price to Earnings (2024 - 2026)
Morgan Stanley Direct Lending Fund's Price to Earnings came in at 21.39 for Q2 2026, up 124.1% from 9.54 a year earlier and up 57.8% from the prior quarter.
Morgan Stanley Direct Lending Fund (MSDL) Price to Earnings (2024 - 2026) Analysis & Trends
For FY2025, Morgan Stanley Direct Lending Fund's Price to Earnings was 11.65, up 37.3% from FY2024.
- Going back by year, Price to Earnings was 8.48 in FY2024.
- The Q2 2026 figure represents the highest quarterly Price to Earnings in data going back to Q1 2024.
- Year-over-year, Price to Earnings has increased for six consecutive quarters, with growth averaging 43.8% over the last six quarters.
- Business Quant data shows MSDL's Price to Earnings at 13.55 (Q1 2026), 11.65 (Q4 2025) and 9.63 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.94 Bn | 29.62 Bn | - |
| 2 | Orix | 41.70 Bn | 42.20 Bn | - |
| 3 | Royalty Pharma | 32.87 Bn | 32.78 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - |
| 5 | Affirm Holdings | 23.86 Bn | 17.55 Bn | - |
| 6 | Synchrony Financial | 23.33 Bn | -44.64 Bn | - |
| 7 | Royal Gold | 19.87 Bn | 19.09 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 13.89 Bn | 4.98 Bn | - |
| 9 | Ares Capital | 13.54 Bn | 10.98 Bn | - |
| 10 | Morgan Stanley Direct Lending Fund | 1.14 Bn | 793.57 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.39 |
| Mar 31, 2026 | 13.55 |
| Dec 31, 2025 | 11.65 |
| Sep 30, 2025 | 9.63 |
| Jun 30, 2025 | 9.54 |
| Mar 31, 2025 | 9.08 |
| Dec 31, 2024 | 8.48 |
| Sep 30, 2024 | 7.95 |
| Jun 30, 2024 | 8.09 |
| Mar 31, 2024 | 8.02 |
Morgan Stanley Direct Lending Fund Price to Earnings 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=price-to-earnings&ticker=MSDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "MSDL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=MSDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();