Intercorp Financial Services (IFS) Cash from Operations (2018 - 2026)
Intercorp Financial Services (IFS) posted Cash from Operations of $2.8 billion for the quarter ended Jun 30, 2026, up 405.1% from $554.93 million a year earlier.
Intercorp Financial Services (IFS) Cash from Operations (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at Intercorp Financial Services was $4.36 billion, up 228.7% year-over-year; for the year ended Dec 31, 2025, it came in at $1.83 billion, down 37.1% from the prior year.
- Annual Cash from Operations shows a five-year compound annual growth rate of -32.4% (years ended Dec 2020 to Dec 2025).
- In prior years, Intercorp Financial Services' Cash from Operations was $2.91 billion in the year ended Dec 31, 2024 (+1.2%), $2.88 billion in the year ended Dec 31, 2023, -$1.01 billion in the year ended Dec 31, 2022 and $1.35 billion in the year ended Dec 31, 2021 (-89.6%).
- Quarterly Cash from Operations has run from a low of -$2.25 billion in the quarter ended Dec 31, 2021 to a high of $2.86 billion in the quarter ended Dec 31, 2025 over five years.
- According to Business Quant data, Cash from Operations for the three prior quarters was -$104.65 million (quarter ended Mar 31, 2026), $2.86 billion (quarter ended Dec 31, 2025) and -$1.2 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Intercorp Financial Services | 6.03 Bn | 6.11 Bn | - | 2.80 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.80 Bn |
| Mar 31, 2026 | -104.65 Mn |
| Dec 31, 2025 | 2.86 Bn |
| Sep 30, 2025 | -1.20 Bn |
| Jun 30, 2025 | 554.93 Mn |
| Mar 31, 2025 | -385.36 Mn |
| Dec 31, 2024 | -1.04 Bn |
| Sep 30, 2024 | 2.19 Bn |
| Jun 30, 2024 | -799.64 Mn |
| Mar 31, 2024 | 2.55 Bn |
| Dec 31, 2023 | -277.73 Mn |
| Sep 30, 2023 | 847.59 Mn |
| Jun 30, 2023 | -331.67 Mn |
| Mar 31, 2023 | 2.64 Bn |
| Dec 31, 2022 | -1.75 Bn |
| Sep 30, 2022 | 2.42 Bn |
| Jun 30, 2022 | 174.94 Mn |
| Mar 31, 2022 | -1.86 Bn |
| Dec 31, 2021 | -2.25 Bn |
| Sep 30, 2021 | 1.37 Bn |
Intercorp Financial Services Cash from Operations 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=cash-from-operations&ticker=IFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();