Nuveen Churchill Direct Lending (NCDL) Total Liabilities (2018 - 2026)
Nuveen Churchill Direct Lending (NCDL) posted Total Liabilities of $1.08 billion for Q3 2026, down 7.4% from $1.16 billion a year earlier and down 5.6% from the prior quarter.
Nuveen Churchill Direct Lending (NCDL) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Nuveen Churchill Direct Lending's Total Liabilities came in at $1.18 billion, up 0.5% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a three-year compound annual growth rate of 17.4% (FY2022 to FY2025).
- In prior years, Nuveen Churchill Direct Lending's Total Liabilities was $1.17 billion in FY2024 (+19.4%), $982.98 million in FY2023 (+34.8%) and $729 million in FY2022.
- The Q3 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2024.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with growth averaging 6.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2025, with growth of 42.8%; the weakest was Q3 2026, with a decline of 7.4%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.14 billion (Q2 2026), $1.18 billion (Q1 2026) and $1.18 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - | 9.67 Bn |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - | 35.84 Bn |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn | 66.29 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - | 4,198.25 Bn |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - | 105.92 Bn |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - | 10.73 Bn |
| 7 | Royal Gold | 21.71 Bn | 20.92 Bn | 402.46 Mn | 1.59 Bn |
| 8 | Ares Capital | 13.84 Bn | 11.59 Bn | - | 16.65 Bn |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - | 130.25 Bn |
| 10 | Nuveen Churchill Direct Lending | 581.78 Mn | 549.38 Mn | - | 1.08 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.08 Bn |
| Jun 30, 2026 | 1.14 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 1.18 Bn |
| Sep 30, 2025 | 1.16 Bn |
| Jun 30, 2025 | 1.19 Bn |
| Mar 31, 2025 | 1.25 Bn |
| Dec 31, 2024 | 1.17 Bn |
| Sep 30, 2024 | 1.15 Bn |
| Jun 30, 2024 | 1.10 Bn |
| Mar 31, 2024 | 877.25 Mn |
| Dec 31, 2023 | 982.98 Mn |
| Sep 30, 2023 | 899.70 Mn |
| Jun 30, 2023 | 853.57 Mn |
| Mar 31, 2023 | 802.94 Mn |
| Dec 31, 2022 | 729.00 Mn |
| Sep 30, 2022 | 684.15 Mn |
| Jun 30, 2022 | 599.85 Mn |
| Mar 31, 2022 | 476.78 Mn |
| Dec 31, 2021 | 446.87 Mn |
Nuveen Churchill Direct 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=NCDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NCDL", "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=NCDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();