Generation Income Properties (GIPR) Return on Sales [ROS] (2020 - 2026)
Generation Income Properties' Return on Sales [ROS] was -74.58% in Q2 2026, up 22.99 percentage points from -97.56% a year earlier but down 17.96 percentage points from the prior quarter.
Generation Income Properties (GIPR) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Generation Income Properties' Return on Sales [ROS] was -64.53% through Jun 30, 2026, down 0.69 percentage points year-over-year; for FY2025, it came in at -71.74%, down 19.17 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -33.55 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -52.57% in FY2024 (-7.29 pp), -45.28% in FY2023 (+0.11 pp), -45.39% in FY2022 (-3.13 pp) and -42.26% in FY2021 (-4.06 pp).
- Quarterly Return on Sales [ROS] has moved between -97.56% (Q2 2025) and -26.33% (Q3 2021) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of -3.80 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2026 (a gain of 22.99 percentage points); the worst was Q4 2021 (a drop of 39.21 percentage points).
- Per Business Quant data, GIPR's Return on Sales [ROS] in the three quarters before Q2 2026 was -56.62% (Q1 2026), -58.62% (Q4 2025) and -68.80% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 51.59% |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 43.38% |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 45.77% |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 37.85% |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 12.39% |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Generation Income Properties | 621,239.08 | 15.88 Mn | - | -74.58% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -74.58% |
| Mar 31, 2026 | -56.62% |
| Dec 31, 2025 | -58.62% |
| Sep 30, 2025 | -68.80% |
| Jun 30, 2025 | -97.56% |
| Mar 31, 2025 | -61.97% |
| Dec 31, 2024 | -40.89% |
| Sep 30, 2024 | -57.05% |
| Jun 30, 2024 | -65.09% |
| Mar 31, 2024 | -49.35% |
| Dec 31, 2023 | -47.82% |
| Sep 30, 2023 | -65.94% |
| Jun 30, 2023 | -49.50% |
| Mar 31, 2023 | -52.26% |
| Dec 31, 2022 | -61.88% |
| Sep 30, 2022 | -32.78% |
| Jun 30, 2022 | -48.14% |
| Mar 31, 2022 | -38.42% |
| Dec 31, 2021 | -78.24% |
| Sep 30, 2021 | -26.33% |
Generation Income Properties Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GIPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GIPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();