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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Inter | 3.54 Bn | 3.56 Bn | - | -15.23% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.23% |
| Mar 31, 2026 | -51.06% |
| Dec 31, 2025 | -229.87% |
| Sep 30, 2025 | -57.16% |
| Jun 30, 2025 | -51.94% |
| Mar 31, 2025 | -44.70% |
| Dec 31, 2024 | -161.09% |
| Sep 30, 2024 | -32.32% |
| Jun 30, 2024 | -33.46% |
| Mar 31, 2024 | -34.87% |
| Dec 31, 2023 | -170.07% |
| Sep 30, 2023 | -49.39% |
| Jun 30, 2023 | -58.82% |
| Mar 31, 2023 | -65.12% |
| Dec 31, 2022 | -62.45% |
| Sep 30, 2022 | -75.95% |
| Jun 30, 2022 | -52.03% |
| Mar 31, 2022 | -9.94% |
| Dec 31, 2021 | -1.41% |
| Sep 30, 2021 | -17.09% |
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_KEY
import 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();