Generation Income Properties (GIPR) Total Liabilities (2020 - 2026)
Generation Income Properties' Total Liabilities was $89.25 million in Q2 2026, down 16.1% from $106.32 million a year earlier and down 4.9% from the prior quarter.
Generation Income Properties (GIPR) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Generation Income Properties came in at $101.46 million, up 1.1% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $100.37 million in FY2024 (-4.1%), $104.62 million in FY2023 (+97.1%), $53.07 million in FY2022 (+35.1%) and $39.28 million in FY2021 (+1.2%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q2 2023.
- Compared with a year earlier, Total Liabilities was higher in four of the last eight quarters, with growth averaging 0.2%.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2023 (growth of 102.4%); the worst was Q1 2026 (a decline of 17.1%).
- Per Business Quant data, GIPR's Total Liabilities in the three quarters before Q2 2026 was $93.89 million (Q1 2026), $101.46 million (Q4 2025) and $107.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 24.08 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 43.55 Bn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 33.94 Bn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 13.78 Bn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 35.35 Bn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 14.77 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 6.23 Bn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 19.56 Bn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 15.20 Bn |
| 10 | Generation Income Properties | 310,619.54 | 15.57 Mn | - | 89.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.25 Mn |
| Mar 31, 2026 | 93.89 Mn |
| Dec 31, 2025 | 101.46 Mn |
| Sep 30, 2025 | 107.37 Mn |
| Jun 30, 2025 | 106.32 Mn |
| Mar 31, 2025 | 113.22 Mn |
| Dec 31, 2024 | 100.37 Mn |
| Sep 30, 2024 | 101.38 Mn |
| Jun 30, 2024 | 95.03 Mn |
| Mar 31, 2024 | 92.35 Mn |
| Dec 31, 2023 | 104.62 Mn |
| Sep 30, 2023 | 104.24 Mn |
| Jun 30, 2023 | 53.57 Mn |
| Mar 31, 2023 | 53.57 Mn |
| Dec 31, 2022 | 53.07 Mn |
| Sep 30, 2022 | 51.49 Mn |
| Jun 30, 2022 | 53.26 Mn |
| Mar 31, 2022 | 53.26 Mn |
| Dec 31, 2021 | 39.28 Mn |
| Sep 30, 2021 | 37.21 Mn |
Generation Income Properties Total Liabilities 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=total-liabilities&ticker=GIPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GIPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();