Generation Income Properties (GIPR) EBITDA Margin (2020 - 2026)
Generation Income Properties (GIPR) reported EBITDA Margin of -27.92% for Q2 2026, up 21.62 percentage points from -49.53% a year earlier but down 19.54 percentage points from the prior quarter.
Generation Income Properties (GIPR) EBITDA Margin (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Generation Income Properties' EBITDA Margin came in at -17.90%, up 0.01 percentage points year-over-year; for FY2025, it came in at -24.24%, down 16.94 percentage points from FY2024.
- EBITDA Margin has a five-year change of -15.62 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at -7.30% in FY2024 (-5.91 pp), -1.39% in FY2023 (+6.71 pp), -8.10% in FY2022 (+6.49 pp) and -14.60% in FY2021 (-5.98 pp).
- Five-year quarterly EBITDA Margin spans a low of -52.16% in Q4 2021 and a high of 3.55% in Q4 2024.
- Year over year, EBITDA Margin gained in four of the last eight quarters, with an average year-over-year change of +0.67 percentage points.
- The high point for year-over-year EBITDA Margin in five years was Q4 2024 (a gain of 33.06 percentage points); the low point was Q4 2021 (a drop of 42.91 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -8.38% (Q1 2026), -15.13% (Q4 2025) and -20.51% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | -30.49% |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 80.02% |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 75.19% |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 87.42% |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 61.19% |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 36.41% |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 66.10% |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 69.58% |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Generation Income Properties | 564,762.81 | 15.82 Mn | - | -27.92% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27.92% |
| Mar 31, 2026 | -8.38% |
| Dec 31, 2025 | -15.13% |
| Sep 30, 2025 | -20.51% |
| Jun 30, 2025 | -49.53% |
| Mar 31, 2025 | -11.68% |
| Dec 31, 2024 | 3.55% |
| Sep 30, 2024 | -15.91% |
| Jun 30, 2024 | -16.42% |
| Mar 31, 2024 | -2.25% |
| Dec 31, 2023 | -29.51% |
| Sep 30, 2023 | -29.16% |
| Jun 30, 2023 | -26.15% |
| Mar 31, 2023 | -12.33% |
| Dec 31, 2022 | -33.36% |
| Sep 30, 2022 | -31.18% |
| Jun 30, 2022 | -17.63% |
| Mar 31, 2022 | -11.61% |
| Dec 31, 2021 | -52.16% |
| Sep 30, 2021 | 0.12% |
Generation Income Properties EBITDA Margin 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=ebitda-margin&ticker=GIPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=GIPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();