Neostellar Capital (NSLR) EV to CFO (2015 - 2026)
Neostellar Capital's (NSLR) EV to CFO was 9.82 for Q3 2025.
Powered by 
Analysis
Neostellar Capital (NSLR) EV to CFO (2015 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Neostellar Capital's EV to CFO came in at 4.89; for FY2024, it was 50.11, up 65.7% from FY2023.
- By year, EV to CFO came in at 30.25 in FY2023 and 0.74 in FY2021.
- The Q3 2025 figure ranks as the lowest quarterly EV to CFO since Q2 2024.
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 | Neostellar Capital | 158.31 Mn | 12.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.08 |
| Dec 31, 2025 | 5.55 |
| Sep 30, 2025 | 9.82 |
| Dec 31, 2024 | 50.11 |
| Jun 30, 2024 | 0.98 |
| Mar 31, 2024 | 3.79 |
| Dec 31, 2023 | 30.25 |
| Sep 30, 2023 | 0.37 |
| Jun 30, 2022 | 0.96 |
| Mar 31, 2022 | 1.82 |
| Dec 31, 2021 | 0.74 |
| Sep 30, 2021 | 1.94 |
| Jun 30, 2021 | 1.93 |
| Mar 31, 2021 | 1.64 |
| Mar 31, 2020 | 1.26 |
| Dec 31, 2019 | 2.01 |
| Sep 30, 2019 | 4.60 |
| Jun 30, 2019 | 3.84 |
| Dec 31, 2018 | 7.83 |
| Sep 30, 2018 | 1.37 |
API Access
Neostellar Capital EV to CFO 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=ev-to-cfo&ticker=NSLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "NSLR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-cfo&ticker=NSLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();