Inter (INTR) Return on Sales [ROS] (2021 - 2026)
Inter (INTR) reported Return on Sales [ROS] of -15.23% for Q2 2026, up 36.71 percentage points from -51.94% a year earlier and up 35.83 percentage points from the prior quarter.
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Analysis
Inter (INTR) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Inter's Return on Sales [ROS] came in at -70.99%, up 1.50 percentage points year-over-year; for FY2025, it came in at 124.03%, down 1.37 percentage points from FY2024.
- Return on Sales [ROS] has declined for three consecutive years, though with a five-year change of +142.94 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 125.40% in FY2024 (-2.50 pp), 127.90% in FY2023 (-23.85 pp), 151.75% in FY2022 (+152.21 pp) and -0.46% in FY2021 (+18.45 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q1 2022.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of -8.19 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2026 (a gain of 36.71 percentage points); the low point was Q4 2023 (a drop of 107.62 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -51.06% (Q1 2026), -229.87% (Q4 2025) and -57.16% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Inter | 4.64 Bn | -3.82 Bn | - | -15.23% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.23% |
| Mar 31, 2026 | -51.06% |
| Dec 31, 2025 | 446.19% |
| Sep 30, 2025 | -57.16% |
| Jun 30, 2025 | -51.94% |
| Mar 31, 2025 | -44.70% |
| Dec 31, 2024 | 326.51% |
| Sep 30, 2024 | -32.32% |
| Jun 30, 2024 | -33.46% |
| Mar 31, 2024 | -34.87% |
| Dec 31, 2023 | 213.85% |
| Sep 30, 2023 | 11.38% |
| Jun 30, 2023 | 7.40% |
| Mar 31, 2023 | -65.12% |
| Dec 31, 2022 | 55.61% |
| Sep 30, 2022 | 4.28% |
| Jun 30, 2022 | 4.10% |
| Mar 31, 2022 | -9.94% |
| Dec 31, 2021 | -1.20% |
| Sep 30, 2021 | 5.71% |
API Access
Inter 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=INTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "INTR", "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=INTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();