Intercorp Financial Services (IFS) Return on Sales [ROS] (2019 - 2023)
Intercorp Financial Services' Return on Sales [ROS] came in at 19.48% for the quarter ended Dec 31, 2025.
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Analysis
Intercorp Financial Services (IFS) Return on Sales [ROS] (2019 - 2023) Analysis & Trends
For the year ended Dec 31, 2025, Intercorp Financial Services' Return on Sales [ROS] was 12.33%.
- Return on Sales [ROS] carries a five-year change of -404.50 percentage points (years ended Dec 2020 to Dec 2025).
- Going back by year, Return on Sales [ROS] was -2.95% in the year ended Dec 31, 2023 (+28207.09 pp), -28210.04% in the year ended Dec 31, 2022 (-28618.55 pp) and 408.51% in the year ended Dec 31, 2021 (-8.32 pp).
- The figure for the quarter ended Dec 31, 2025 represents the highest quarterly Return on Sales [ROS] since the quarter ended Sep 30, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Intercorp Financial Services | 5.40 Bn | -85.74 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -15.19% |
| Jun 30, 2023 | -8.20% |
| Mar 31, 2023 | -8.42% |
| Dec 31, 2022 | -29.84% |
| Sep 30, 2022 | 111.51% |
| Dec 31, 2021 | 54.14% |
| Sep 30, 2021 | 161.54% |
| Dec 31, 2020 | 1.34% |
| Sep 30, 2020 | 67.10% |
| Sep 30, 2019 | 76.75% |
API Access
Intercorp Financial Services 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=IFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IFS", "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=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();