Intercorp Financial Services (IFS) Net Cash Flow (2018 - 2026)
Intercorp Financial Services' Net Cash Flow came in at $3.05 billion for the quarter ended Jun 30, 2026, up 359.9% from $662.53 million a year earlier and up 228.0% from the prior quarter.
Intercorp Financial Services (IFS) Net Cash Flow (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Intercorp Financial Services reported Net Cash Flow of $4.88 billion, up 26.2% year-over-year; for the year ended Dec 31, 2025, it came in at $494.79 million.
- Net Cash Flow carries a five-year compound annual growth rate of -43.2% (years ended Dec 2020 to Dec 2025).
- Going back by year, Net Cash Flow was -$9.43 billion in the year ended Dec 31, 2024, -$3.67 billion in the year ended Dec 31, 2023, -$3.68 billion in the year ended Dec 31, 2022 and -$1.84 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Net Cash Flow since the quarter ended Sep 30, 2024.
- Business Quant data shows IFS's Net Cash Flow at $929.03 million (quarter ended Mar 31, 2026), $1.52 billion (quarter ended Dec 31, 2025) and -$616.47 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) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | -88.00 Mn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | -12.45 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 27.11 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 2.71 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 8.45 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 28.19 Bn |
| 10 | Intercorp Financial Services | 6.06 Bn | 6.14 Bn | - | 3.05 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.05 Bn |
| Mar 31, 2026 | 929.03 Mn |
| Dec 31, 2025 | 1.52 Bn |
| Sep 30, 2025 | -616.47 Mn |
| Jun 30, 2025 | 662.53 Mn |
| Mar 31, 2025 | 760.01 Mn |
| Dec 31, 2024 | -1.06 Bn |
| Sep 30, 2024 | 3.51 Bn |
| Jun 30, 2024 | -1.75 Bn |
| Mar 31, 2024 | 2.97 Bn |
| Dec 31, 2023 | -6.82 Bn |
| Sep 30, 2023 | -4.46 Bn |
| Jun 30, 2023 | -4.68 Bn |
| Mar 31, 2023 | -779.99 Mn |
| Dec 31, 2022 | -4.42 Bn |
| Sep 30, 2022 | -2.12 Bn |
| Jun 30, 2022 | -2.46 Bn |
| Mar 31, 2022 | -3.16 Bn |
| Dec 31, 2021 | -5.44 Bn |
| Sep 30, 2021 | -940.19 Mn |
Intercorp Financial Services Net Cash Flow 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=net-cash-flow&ticker=IFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();