Intercorp Financial Services (IFS) Return on Sales [ROS] (2019 - 2025)
Intercorp Financial Services' Return on Sales [ROS] came in at 19.48% for the quarter ended Dec 31, 2025.
Analysis
Intercorp Financial Services (IFS) Return on Sales [ROS] (2019 - 2025) 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 | 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 | Intercorp Financial Services | 5.91 Bn | 5.98 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 19.48% |
| Sep 30, 2022 | 228.01% |
| Dec 31, 2021 | 118.08% |
| Sep 30, 2021 | 239.65% |
| Dec 31, 2020 | -9.73% |
| Sep 30, 2020 | 192.24% |
| Sep 30, 2019 | 222.66% |
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_KEY
import 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();