i3 Verticals (IIIV) Return on Sales [ROS] (2017 - 2026)
i3 Verticals (IIIV) reported Return on Sales [ROS] of -1.68% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 7.59 percentage points from -9.27% a year earlier but down 8.19 percentage points from the prior quarter.
i3 Verticals (IIIV) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, i3 Verticals' Return on Sales [ROS] came in at 2.72%, unchanged year-over-year; for FY2025 (ended Sep 30, 2025), it was 1.77%, down 0.51 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -3.41 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 2.28% in FY2024 (+4.60 pp), -2.33% in FY2023 (+10.00 pp), -12.33% in FY2022 (-12.32 pp) and -0.01% in FY2021 (-5.18 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -12.33% in fiscal Q4 2022 and a high of 9.35% in fiscal Q2 2025.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +0.46 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2023 (a gain of 18.15 percentage points); the low point was fiscal Q4 2022 (a drop of 13.26 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 6.51% (Q2 2026), 3.05% (Q1 2026) and 2.69% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | i3 Verticals | 380.18 Mn | 385.98 Mn | - | -1.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.68% |
| Mar 31, 2026 | 6.51% |
| Dec 31, 2025 | 3.05% |
| Sep 30, 2025 | 2.69% |
| Jun 30, 2025 | -9.27% |
| Mar 31, 2025 | 9.35% |
| Dec 31, 2024 | 3.93% |
| Sep 30, 2024 | 6.65% |
| Jun 30, 2024 | -2.84% |
| Mar 31, 2024 | 3.41% |
| Dec 31, 2023 | 0.50% |
| Sep 30, 2023 | 5.83% |
| Jun 30, 2023 | -7.99% |
| Mar 31, 2023 | 0.33% |
| Dec 31, 2022 | -0.65% |
| Sep 30, 2022 | -12.33% |
| Jun 30, 2022 | -3.39% |
| Mar 31, 2022 | -7.91% |
| Dec 31, 2021 | -1.02% |
| Sep 30, 2021 | 0.93% |
i3 Verticals 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=IIIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IIIV", "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=IIIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();