Dynex Capital (DX) Operating Expenses (2014 - 2026)
Dynex Capital (DX) posted Operating Expenses of $16.21 million for Q2 2026, up 31.9% from $12.29 million a year earlier but down 23.7% from the prior quarter.
Powered by 
Analysis
Dynex Capital (DX) Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Dynex Capital was $66.1 million, up 56.0% year-over-year; for FY2025, it came in at $53.05 million, up 45.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- In prior years, Dynex Capital's Operating Expenses was $36.5 million in FY2024 (+11.0%), $32.88 million in FY2023 (-2.8%), $33.84 million in FY2022 (+33.1%) and $25.43 million in FY2021 (+14.9%).
- Quarterly Operating Expenses has run from a low of $7.24 million in Q2 2024 to a high of $21.25 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last eight quarters, with growth averaging 38.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 80.0%; the weakest was Q3 2023, with a decline of 18.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $21.25 million (Q1 2026), $16.64 million (Q4 2025) and $12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 43.85 Bn | 44.35 Bn | - | 4.66 Bn |
| 2 | Rocket Companies | 43.67 Bn | 29.35 Bn | - | 2.50 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.48 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | 2.07 Bn |
| 5 | Synchrony Financial | 23.24 Bn | -44.73 Bn | - | 1.33 Bn |
| 6 | Affirm Holdings | 22.66 Bn | 16.35 Bn | - | 1.02 Bn |
| 7 | Royal Gold | 20.35 Bn | 19.57 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 15.27 Bn | 6.37 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.74 Bn | 11.17 Bn | - | - |
| 10 | Dynex Capital | 2.69 Bn | 287.17 Mn | - | 16.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.21 Mn |
| Mar 31, 2026 | 21.25 Mn |
| Dec 31, 2025 | 16.64 Mn |
| Sep 30, 2025 | 12.00 Mn |
| Jun 30, 2025 | 12.29 Mn |
| Mar 31, 2025 | 12.12 Mn |
| Dec 31, 2024 | 9.25 Mn |
| Sep 30, 2024 | 8.71 Mn |
| Jun 30, 2024 | 7.24 Mn |
| Mar 31, 2024 | 11.30 Mn |
| Dec 31, 2023 | 8.81 Mn |
| Sep 30, 2023 | 8.64 Mn |
| Jun 30, 2023 | 7.63 Mn |
| Mar 31, 2023 | 7.80 Mn |
| Dec 31, 2022 | 8.34 Mn |
| Sep 30, 2022 | 10.58 Mn |
| Jun 30, 2022 | 7.50 Mn |
| Mar 31, 2022 | 7.43 Mn |
| Dec 31, 2019 | 4.01 Mn |
| Sep 30, 2019 | 3.76 Mn |
API Access
Dynex Capital Operating Expenses 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=operating-expenses&ticker=DX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=DX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();