Intercorp Financial Services (IFS) Other Accumulated Expenses (2018 - 2026)
Intercorp Financial Services' Other Accumulated Expenses came in at $365.18 million for the quarter ended Jun 30, 2026, compared with $29.65 million a year earlier.
Intercorp Financial Services (IFS) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Intercorp Financial Services' Other Accumulated Expenses was $363.25 million, up 680.6% from the prior year.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 58.8% (years ended Dec 2020 to Dec 2025).
- Going back by year, Other Accumulated Expenses was $46.54 million in the year ended Dec 31, 2024 (+197.5%), $15.64 million in the year ended Dec 31, 2023 (-98.3%), $899.57 million in the year ended Dec 31, 2022 (+20.8%) and $744.62 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Other Accumulated Expenses since the quarter ended Dec 31, 2022.
- Year-over-year, Other Accumulated Expenses increased in five of the last six quarters, with growth averaging 230.8%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in the quarter ended Dec 31, 2025 (growth of 680.6%), and the weakest in the quarter ended Dec 31, 2023 (a decline of 98.3%).
- Business Quant data shows IFS's Other Accumulated Expenses at $9.41 million (quarter ended Mar 31, 2026), $363.25 million (quarter ended Dec 31, 2025) and $47 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Intercorp Financial Services | 5.91 Bn | 5.98 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 365.18 Mn |
| Mar 31, 2026 | 9.41 Mn |
| Dec 31, 2025 | 363.25 Mn |
| Sep 30, 2025 | 47.00 Mn |
| Jun 30, 2025 | 29.65 Mn |
| Mar 31, 2025 | 4.07 Mn |
| Dec 31, 2024 | 46.54 Mn |
| Sep 30, 2024 | 11.18 Mn |
| Jun 30, 2024 | 12.82 Mn |
| Mar 31, 2024 | 17.13 Mn |
| Dec 31, 2023 | 15.64 Mn |
| Dec 31, 2022 | 899.57 Mn |
| Dec 31, 2021 | 744.62 Mn |
| Dec 31, 2020 | 35.95 Mn |
| Mar 31, 2020 | 738,000.00 |
| Dec 31, 2019 | 39.76 Mn |
| Sep 30, 2019 | 4.96 Mn |
| Jun 30, 2019 | 5.74 Mn |
| Dec 31, 2018 | 6.68 Mn |
Intercorp Financial Services Other Accumulated 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=other-accumulated-expenses&ticker=IFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();