Sixth Street Specialty Lending (TSLX) Accumulated Expenses (2024 - 2026)
Sixth Street Specialty Lending (TSLX) reported Accumulated Expenses of $34.72 million for Q3 2026, up 27.7% from $27.19 million a year earlier but down 23.1% from the prior quarter.
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Analysis
Sixth Street Specialty Lending (TSLX) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Sixth Street Specialty Lending posted Accumulated Expenses of $44.4 million, up 11.3% from FY2024.
- By year, Accumulated Expenses came in at $39.88 million in FY2024.
- Five-year quarterly Accumulated Expenses spans a low of $23.55 million in Q1 2026 and a high of $45.15 million in Q2 2026.
- Per Business Quant data, the three quarters before Q3 2026 came in at $45.15 million (Q2 2026), $23.55 million (Q1 2026) and $44.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - |
| 10 | Sixth Street Specialty Lending | 1.70 Bn | 1.42 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.72 Mn |
| Jun 30, 2026 | 45.15 Mn |
| Mar 31, 2026 | 23.55 Mn |
| Dec 31, 2025 | 44.40 Mn |
| Sep 30, 2025 | 27.19 Mn |
| Dec 31, 2024 | 39.88 Mn |
API Access
Sixth Street Specialty Lending Accumulated 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=accumulated-expenses&ticker=TSLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "TSLX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=TSLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();