NexPoint Real Estate Finance (NREF) Cash & Equivalents (2020 - 2026)
NexPoint Real Estate Finance (NREF) reported Cash & Equivalents of $237.41 million for Q3 2026, compared with $21.56 million a year earlier and up 71.7% from the prior quarter.
NexPoint Real Estate Finance (NREF) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, NexPoint Real Estate Finance posted Cash & Equivalents of $34.35 million, up 387.1% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $7.05 million in FY2024 (-57.6%), $16.65 million in FY2023 (-18.2%), $20.35 million in FY2022 (-23.1%) and $26.46 million in FY2021 (-20.9%).
- The Q3 2026 figure ranks as the highest quarterly Cash & Equivalents in data going back to Q1 2020.
- Year over year, Cash & Equivalents gained in five of the last seven quarters, with growth averaging 214.5%.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2026 (growth of 906.2%); the low point was Q2 2024 (a decline of 78.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $138.23 million (Q2 2026), $25.25 million (Q1 2026) and $34.35 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - | 513.66 Mn |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - | 2.70 Bn |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn | 7.17 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - | 10.92 Bn |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - | 15.90 Bn |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - | 2.07 Bn |
| 7 | Royal Gold | 21.71 Bn | 20.92 Bn | 402.46 Mn | 184.54 Mn |
| 8 | Ares Capital | 13.84 Bn | 11.59 Bn | - | 722.00 Mn |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - | 2.18 Bn |
| 10 | NexPoint Real Estate Finance | 231.64 Mn | -336.77 Mn | - | 237.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 237.41 Mn |
| Jun 30, 2026 | 138.23 Mn |
| Mar 31, 2026 | 25.25 Mn |
| Dec 31, 2025 | 34.35 Mn |
| Sep 30, 2025 | 21.56 Mn |
| Jun 30, 2025 | 13.74 Mn |
| Mar 31, 2025 | 23.49 Mn |
| Dec 31, 2024 | 7.05 Mn |
| Sep 30, 2024 | 34.71 Mn |
| Jun 30, 2024 | 4.27 Mn |
| Mar 31, 2024 | 13.48 Mn |
| Dec 31, 2023 | 16.65 Mn |
| Sep 30, 2023 | 10.98 Mn |
| Jun 30, 2023 | 19.66 Mn |
| Mar 31, 2023 | 38.83 Mn |
| Dec 31, 2022 | 20.35 Mn |
| Sep 30, 2022 | 26.48 Mn |
| Jun 30, 2022 | 53.94 Mn |
| Mar 31, 2022 | 35.42 Mn |
| Dec 31, 2021 | 26.46 Mn |
NexPoint Real Estate Finance Cash & Equivalents 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=cash-and-equivalents&ticker=NREF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "NREF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=NREF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();