Granite Point Mortgage Trust Inc. (GPMT) Retained Earnings (2016 - 2026)
Granite Point Mortgage Trust (GPMT) recorded Retained Earnings of -$241.54 million in Q2 2026, compared with -$159.93 million a year earlier.
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Analysis
Granite Point Mortgage Trust Inc. (GPMT) Retained Earnings (2016 - 2026) Analysis & Trends
At the end of FY2025, Granite Point Mortgage Trust reported Retained Earnings of -$180.71 million.
- Across earlier years, Retained Earnings came in at -$139.56 million in FY2024, $67.5 million in FY2023 (-48.4%), $130.69 million in FY2022 (-23.8%) and $171.52 million in FY2021 (+66.3%).
- The Q2 2026 figure is the lowest quarterly Retained Earnings in data going back to Q4 2016.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 105.0% in Q3 2021, against a decline of 48.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -$183.13 million (Q1 2026), -$180.71 million (Q4 2025) and -$156.9 million (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -241.54 Mn |
| Mar 31, 2026 | -183.13 Mn |
| Dec 31, 2025 | -180.71 Mn |
| Sep 30, 2025 | -156.90 Mn |
| Jun 30, 2025 | -159.93 Mn |
| Mar 31, 2025 | -146.57 Mn |
| Dec 31, 2024 | -139.56 Mn |
| Sep 30, 2024 | -100.72 Mn |
| Jun 30, 2024 | -69.70 Mn |
| Mar 31, 2024 | -6.63 Mn |
| Dec 31, 2023 | 67.50 Mn |
| Sep 30, 2023 | 80.97 Mn |
| Jun 30, 2023 | 101.91 Mn |
| Mar 31, 2023 | 96.86 Mn |
| Dec 31, 2022 | 130.69 Mn |
| Sep 30, 2022 | 136.92 Mn |
| Jun 30, 2022 | 162.42 Mn |
| Mar 31, 2022 | 176.15 Mn |
| Dec 31, 2021 | 171.52 Mn |
| Sep 30, 2021 | 164.06 Mn |
API Access
Granite Point Mortgage Trust Inc. Retained Earnings 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=retained-earnings&ticker=GPMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=GPMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();