Generation Income Properties (GIPR) Accumulated Expenses (2020 - 2026)
Generation Income Properties (GIPR) posted Accumulated Expenses of $1.26 million for Q2 2026, down 6.3% from $1.35 million a year earlier and down 15.5% from the prior quarter.
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Analysis
Generation Income Properties (GIPR) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Generation Income Properties' Accumulated Expenses came in at $1.17 million, up 3.4% from FY2024.
- Annual Accumulated Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- In prior years, Generation Income Properties' Accumulated Expenses was $1.13 million in FY2024 (+63.9%), $688,146 in FY2023 (+88.2%), $365,624 in FY2022 (+171.2%) and $134,816 in FY2021 (-66.8%).
- Quarterly Accumulated Expenses has run from a low of $134,816 in Q4 2021 to a high of $1.97 million in Q3 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 43.6%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2022, with growth of 171.2%; the weakest was Q4 2021, with a decline of 66.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $1.49 million (Q1 2026), $1.17 million (Q4 2025) and $1.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - |
| 10 | Generation Income Properties | 621,239.08 | 15.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Mn |
| Mar 31, 2026 | 1.49 Mn |
| Dec 31, 2025 | 1.17 Mn |
| Sep 30, 2025 | 1.97 Mn |
| Jun 30, 2025 | 1.35 Mn |
| Mar 31, 2025 | 1.49 Mn |
| Dec 31, 2024 | 1.13 Mn |
| Sep 30, 2024 | 1.38 Mn |
| Jun 30, 2024 | 862,986.00 |
| Mar 31, 2024 | 593,731.00 |
| Dec 31, 2023 | 688,146.00 |
| Sep 30, 2023 | 1.01 Mn |
| Jun 30, 2023 | 379,508.00 |
| Mar 31, 2023 | 263,621.00 |
| Dec 31, 2022 | 365,624.00 |
| Sep 30, 2022 | 386,079.00 |
| Jun 30, 2022 | 398,710.00 |
| Mar 31, 2022 | 305,964.00 |
| Dec 31, 2021 | 134,816.00 |
| Sep 30, 2021 | 278,581.00 |
API Access
Generation Income Properties Accumulated 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=accumulated-expenses&ticker=GIPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "GIPR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=GIPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();