Sixth Street Specialty Lending (TSLX) Total Liabilities (2011 - 2026)
Sixth Street Specialty Lending's Total Liabilities came in at $5.03 billion for Q3 2026, up 166.3% from $1.89 billion a year earlier and up 152.2% from the prior quarter.
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Analysis
Sixth Street Specialty Lending (TSLX) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Sixth Street Specialty Lending's Total Liabilities was $1.81 billion, down 8.1% from FY2024.
- Total Liabilities carries a four-year compound annual growth rate of 9.2% (FY2021 to FY2025).
- Going back by year, Total Liabilities was $1.97 billion in FY2024 (+6.9%), $1.85 billion in FY2023 (+23.5%), $1.5 billion in FY2022 (+17.2%) and $1.28 billion in FY2021.
- The Q3 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2021.
- Year-over-year, Total Liabilities increased in five of the last eight quarters, with growth averaging 21.7%.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2026 (growth of 166.3%), and the weakest in Q4 2025 (a decline of 8.1%).
- Business Quant data shows TSLX's Total Liabilities at $1.99 billion (Q2 2026), $1.85 billion (Q1 2026) and $1.81 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | 35.84 Bn |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | 9.67 Bn |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | 66.29 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | 4,198.25 Bn |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 1.59 Bn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 10.73 Bn |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 105.92 Bn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | 130.25 Bn |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | 16.65 Bn |
| 10 | Sixth Street Specialty Lending | 1.70 Bn | 1.42 Bn | - | 1.93 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.93 Bn |
| Jun 30, 2026 | 1.99 Bn |
| Mar 31, 2026 | 1.85 Bn |
| Dec 31, 2025 | 1.81 Bn |
| Sep 30, 2025 | 1.89 Bn |
| Jun 30, 2025 | 1.80 Bn |
| Mar 31, 2025 | 1.90 Bn |
| Dec 31, 2024 | 1.97 Bn |
| Sep 30, 2024 | 1.93 Bn |
| Jun 30, 2024 | 1.79 Bn |
| Mar 31, 2024 | 1.87 Bn |
| Dec 31, 2023 | 1.85 Bn |
| Sep 30, 2023 | 1.69 Bn |
| Jun 30, 2023 | 1.68 Bn |
| Mar 31, 2023 | 1.62 Bn |
| Dec 31, 2022 | 1.50 Bn |
| Sep 30, 2022 | 1.53 Bn |
| Jun 30, 2022 | 1.34 Bn |
| Mar 31, 2022 | 1.21 Bn |
| Dec 31, 2021 | 1.28 Bn |
API Access
Sixth Street Specialty Lending 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=TSLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TSLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();