Granite Point Mortgage Trust (GPMT) Interest Expense - Fed Funds (2017 - 2026)
Granite Point Mortgage Trust (GPMT) reported Interest Expense - Fed Funds of $5.33 million for Q2 2026, down 49.7% from $10.59 million a year earlier and down 21.6% from the prior quarter.
Granite Point Mortgage Trust (GPMT) Interest Expense - Fed Funds (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Granite Point Mortgage Trust's Interest Expense - Fed Funds came in at $29.45 million, down 45.7% year-over-year; for FY2025, it was $39.8 million, down 44.6% from FY2024.
- Interest Expense - Fed Funds has a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- By year, Interest Expense - Fed Funds came in at $71.84 million in FY2024 (-17.0%), $86.59 million in FY2023 (+75.1%), $49.45 million in FY2022 (+90.4%) and $25.97 million in FY2021 (-55.6%).
- The Q2 2026 figure ranks as the lowest quarterly Interest Expense - Fed Funds since Q1 2022.
- Year over year, Interest Expense - Fed Funds has now declined in each of the last nine quarters, with an average decline of 40.7% over the last eight quarters.
- The high point for year-over-year Interest Expense - Fed Funds in five years was Q1 2023 (growth of 294.8%); the low point was Q3 2021 (a decline of 57.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.8 million (Q1 2026), $8.47 million (Q4 2025) and $8.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 44.95 Bn | 30.63 Bn | - |
| 2 | Orix | 41.97 Bn | 42.47 Bn | - |
| 3 | Royalty Pharma | 33.14 Bn | 33.05 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.99 Bn | 24.99 Bn | - |
| 5 | Affirm Holdings | 23.75 Bn | 17.44 Bn | - |
| 6 | Synchrony Financial | 23.25 Bn | -44.72 Bn | - |
| 7 | Royal Gold | 19.67 Bn | 18.90 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.04 Bn | 5.13 Bn | - |
| 9 | Ares Capital | 13.76 Bn | 11.19 Bn | - |
| 10 | Granite Point Mortgage Trust | 38.56 Mn | 329.45 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.33 Mn |
| Mar 31, 2026 | 6.80 Mn |
| Dec 31, 2025 | 8.47 Mn |
| Sep 30, 2025 | 8.85 Mn |
| Jun 30, 2025 | 10.59 Mn |
| Mar 31, 2025 | 11.89 Mn |
| Dec 31, 2024 | 14.42 Mn |
| Sep 30, 2024 | 17.37 Mn |
| Jun 30, 2024 | 19.33 Mn |
| Mar 31, 2024 | 20.73 Mn |
| Dec 31, 2023 | 21.96 Mn |
| Sep 30, 2023 | 21.99 Mn |
| Jun 30, 2023 | 22.87 Mn |
| Mar 31, 2023 | 19.77 Mn |
| Dec 31, 2022 | 18.97 Mn |
| Sep 30, 2022 | 15.10 Mn |
| Jun 30, 2022 | 10.38 Mn |
| Mar 31, 2022 | 5.01 Mn |
| Dec 31, 2021 | 5.52 Mn |
| Sep 30, 2021 | 5.45 Mn |
Granite Point Mortgage Trust Interest Expense - Fed Funds 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=interest-expense-fed-funds&ticker=GPMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-fed-funds", "ticker": "GPMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expense-fed-funds&ticker=GPMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();