Ellington Financial (EFC) Cash & Equivalents (2010 - 2026)
Ellington Financial (EFC) posted Cash & Equivalents of $247.47 million for Q2 2026, up 17.3% from $211.01 million a year earlier and up 51.6% from the prior quarter.
Ellington Financial (EFC) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Ellington Financial's Cash & Equivalents came in at $201.89 million, up 4.9% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- In prior years, Ellington Financial's Cash & Equivalents was $192.39 million in FY2024 (-16.0%), $228.93 million in FY2023 (+5.5%), $217.05 million in FY2022 (+134.2%) and $92.66 million in FY2021 (-17.0%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents since Q1 2022.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 1.4%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2022, with growth of 143.4%; the weakest was Q1 2023, with a decline of 48.1%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $163.22 million (Q1 2026), $201.89 million (Q4 2025) and $184.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | 3.10 Bn |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 6.08 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 811.99 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 1.63 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 16.19 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 182.47 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 2.91 Bn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 383.00 Mn |
| 10 | Ellington Financial | 1.51 Bn | 744.04 Mn | - | 247.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 247.47 Mn |
| Mar 31, 2026 | 163.22 Mn |
| Dec 31, 2025 | 201.89 Mn |
| Sep 30, 2025 | 184.81 Mn |
| Jun 30, 2025 | 211.01 Mn |
| Mar 31, 2025 | 203.29 Mn |
| Dec 31, 2024 | 192.39 Mn |
| Sep 30, 2024 | 217.73 Mn |
| Jun 30, 2024 | 198.51 Mn |
| Mar 31, 2024 | 187.47 Mn |
| Dec 31, 2023 | 228.93 Mn |
| Sep 30, 2023 | 174.66 Mn |
| Jun 30, 2023 | 194.60 Mn |
| Mar 31, 2023 | 188.56 Mn |
| Dec 31, 2022 | 217.05 Mn |
| Sep 30, 2022 | 175.23 Mn |
| Jun 30, 2022 | 224.45 Mn |
| Mar 31, 2022 | 363.53 Mn |
| Dec 31, 2021 | 92.66 Mn |
| Sep 30, 2021 | 103.62 Mn |
Ellington Financial 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=EFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "EFC", "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=EFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();