Intercorp Financial Services (IFS) Selling, General & Administrative (2018 - 2026)
Intercorp Financial Services (IFS) posted Selling, General & Administrative of -$384.09 million for the quarter ended Jun 30, 2026, compared with -$361.78 million a year earlier.
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Analysis
Intercorp Financial Services (IFS) Selling, General & Administrative (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Intercorp Financial Services was -$1.51 billion; for the year ended Dec 31, 2025, it came in at -$1.44 billion.
- In prior years, Intercorp Financial Services' Selling, General & Administrative was -$1.34 billion in the year ended Dec 31, 2024, -$1.29 billion in the year ended Dec 31, 2023, -$1.18 billion in the year ended Dec 31, 2022 and -$965.51 million in the year ended Dec 31, 2021.
- Quarterly Selling, General & Administrative has run from a low of -$385.48 million in the quarter ended Dec 31, 2025 to a high of -$249.91 million in the quarter ended Mar 31, 2022 over five years.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was -$380.01 million (quarter ended Mar 31, 2026), -$385.48 million (quarter ended Dec 31, 2025) and -$356.26 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.82 Bn |
| 10 | Intercorp Financial Services | 5.40 Bn | -85.74 Bn | - | 401.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 401.72 Mn |
| Jun 30, 2026 | 384.09 Mn |
| Mar 31, 2026 | 380.01 Mn |
| Dec 31, 2025 | 385.48 Mn |
| Sep 30, 2025 | 356.26 Mn |
| Jun 30, 2025 | 361.78 Mn |
| Mar 31, 2025 | 333.31 Mn |
| Dec 31, 2024 | 332.40 Mn |
| Sep 30, 2024 | 341.46 Mn |
| Jun 30, 2024 | 341.22 Mn |
| Mar 31, 2024 | 321.87 Mn |
| Dec 31, 2023 | 339.51 Mn |
| Sep 30, 2023 | 326.46 Mn |
| Jun 30, 2023 | 320.50 Mn |
| Mar 31, 2023 | 302.40 Mn |
| Dec 31, 2022 | 331.50 Mn |
| Sep 30, 2022 | 308.13 Mn |
| Jun 30, 2022 | 290.26 Mn |
| Mar 31, 2022 | 249.91 Mn |
| Dec 31, 2021 | 265.37 Mn |
API Access
Intercorp Financial Services Selling, General & Administrative 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=selling-general-and-administrative&ticker=IFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();