Intercorp Financial Services (IFS) Operating Expenses (2018 - 2026)
Intercorp Financial Services' Operating Expenses was -$384.09 million in the quarter ended Jun 30, 2026, compared with -$361.78 million a year earlier.
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Analysis
Intercorp Financial Services (IFS) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Intercorp Financial Services' Operating Expenses was -$1.51 billion through Jun 30, 2026; for the year ended Dec 31, 2025, it was -$3.16 trillion.
- In earlier years, Operating Expenses was -$2.9 trillion in the year ended Dec 31, 2024, -$2.75 billion in the year ended Dec 31, 2023, -$2.63 billion in the year ended Dec 31, 2022 and -$2.26 billion in the year ended Dec 31, 2021.
- Quarterly Operating Expenses has moved between -$385.48 million (the quarter ended Dec 31, 2025) and -$249.91 million (the quarter ended Mar 31, 2022) over five years.
- Per Business Quant data, IFS's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 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) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Intercorp Financial Services | 6.06 Bn | 6.14 Bn | - | -384.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | -260.70 Mn |
API Access
Intercorp Financial Services Operating Expenses 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=operating-expenses&ticker=IFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();