Annaly Capital Management (NLY) Operating Expenses (2009 - 2026)
Annaly Capital Management (NLY) reported Operating Expenses of $58.19 million for Q2 2026, up 16.3% from $50.02 million a year earlier and up 10.7% from the prior quarter.
Annaly Capital Management (NLY) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Annaly Capital Management's Operating Expenses came in at $212.3 million, up 14.2% year-over-year; for FY2025, it came in at $199.63 million, up 16.5% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $171.36 million in FY2024 (+5.4%), $162.55 million in FY2023 (-0.1%), $162.73 million in FY2022 (-12.5%) and $186.01 million in FY2021 (-16.3%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q2 2020.
- Year over year, Operating Expenses has now increased in each of the last nine quarters, with growth averaging 14.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2025 (growth of 24.6%); the low point was Q2 2022 (a decline of 32.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $52.56 million (Q1 2026), $51.21 million (Q4 2025) and $50.34 million (Q3 2025).
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 | Federal Home Loan Mortgage | 12.68 Bn | -6.06 Bn | - | 2.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.19 Mn |
| Mar 31, 2026 | 52.56 Mn |
| Dec 31, 2025 | 51.21 Mn |
| Sep 30, 2025 | 50.34 Mn |
| Jun 30, 2025 | 50.02 Mn |
| Mar 31, 2025 | 48.06 Mn |
| Dec 31, 2024 | 43.97 Mn |
| Sep 30, 2024 | 43.92 Mn |
| Jun 30, 2024 | 44.89 Mn |
| Mar 31, 2024 | 38.57 Mn |
| Dec 31, 2023 | 38.90 Mn |
| Sep 30, 2023 | 39.91 Mn |
| Jun 30, 2023 | 42.92 Mn |
| Mar 31, 2023 | 40.83 Mn |
| Dec 31, 2022 | 43.01 Mn |
| Sep 30, 2022 | 37.92 Mn |
| Jun 30, 2022 | 36.04 Mn |
| Mar 31, 2022 | 45.76 Mn |
| Dec 31, 2021 | 40.70 Mn |
| Sep 30, 2021 | 43.88 Mn |
Annaly Capital Management 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=NLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NLY", "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=NLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();