Sixth Street Specialty Lending (TSLX) Total Non-Current Liabilities (2021 - 2026)
Sixth Street Specialty Lending (TSLX) reported Total Non-Current Liabilities of $5.09 billion for Q2 2026, up 189.4% from $1.76 billion a year earlier and up 175.4% from the prior quarter.
Sixth Street Specialty Lending (TSLX) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Sixth Street Specialty Lending posted Total Non-Current Liabilities of $1.81 billion, down 6.4% from FY2024.
- Total Non-Current Liabilities has a four-year compound annual growth rate of 9.6% (FY2021 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.93 billion in FY2024 (+6.5%), $1.82 billion in FY2023 (+23.4%), $1.47 billion in FY2022 (+17.4%) and $1.25 billion in FY2021.
- Five-year quarterly Total Non-Current Liabilities spans a low of $1.25 billion in Q4 2021 and a high of $5.13 billion in Q3 2025.
- Year over year, Total Non-Current Liabilities gained in six of the last eight quarters, with growth averaging 46.8%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2026 (growth of 189.4%); the low point was Q4 2025 (a decline of 6.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.85 billion (Q1 2026), $1.81 billion (Q4 2025) and $5.13 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 77.86 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 9.32 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 4,200.68 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 10.25 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 105.01 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 1.76 Bn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 126.51 Bn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 16.51 Bn |
| 10 | Sixth Street Specialty Lending | 1.72 Bn | 1.39 Bn | - | 5.09 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.09 Bn |
| Mar 31, 2026 | 1.85 Bn |
| Dec 31, 2025 | 1.81 Bn |
| Sep 30, 2025 | 5.13 Bn |
| Jun 30, 2025 | 1.76 Bn |
| Mar 31, 2025 | 1.87 Bn |
| Dec 31, 2024 | 1.93 Bn |
| Sep 30, 2024 | 1.91 Bn |
| Jun 30, 2024 | 1.75 Bn |
| Mar 31, 2024 | 1.84 Bn |
| Dec 31, 2023 | 1.82 Bn |
| Sep 30, 2023 | 1.66 Bn |
| Jun 30, 2023 | 1.66 Bn |
| Mar 31, 2023 | 1.59 Bn |
| Dec 31, 2022 | 1.47 Bn |
| Sep 30, 2022 | 1.49 Bn |
| Dec 31, 2021 | 1.25 Bn |
Sixth Street Specialty Lending Total Non-Current 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-non-current-liabilities&ticker=TSLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=TSLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();