Intercorp Financial Services (IFS) Exchange Rate Effect (2018 - 2026)
Intercorp Financial Services (IFS) recorded Exchange Rate Effect of $13.41 million in the quarter ended Jun 30, 2026, compared with -$81.53 million a year earlier and up 42.9% from the prior quarter.
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Analysis
Intercorp Financial Services (IFS) Exchange Rate Effect (2018 - 2026) Analysis & Trends
On a TTM basis, Intercorp Financial Services' Exchange Rate Effect came in at -$181.13 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it was -$124.22 million.
- Across earlier years, Exchange Rate Effect came in at $12.5 million in the year ended Dec 31, 2024 (-66.6%), $37.4 million in the year ended Dec 31, 2023, -$26.68 million in the year ended Dec 31, 2022 and $112.79 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Exchange Rate Effect since the quarter ended Dec 31, 2023.
- Per Business Quant, the preceding three quarters came in at $9.38 million (quarter ended Mar 31, 2026), -$124.22 million (quarter ended Dec 31, 2025) and -$79.7 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | -2.24 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | -289.00 Mn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | -503.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 723.66 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | -713.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Intercorp Financial Services | 6.06 Bn | 6.14 Bn | - | 13.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.41 Mn |
| Mar 31, 2026 | 9.38 Mn |
| Dec 31, 2025 | -124.22 Mn |
| Sep 30, 2025 | -79.70 Mn |
| Jun 30, 2025 | -81.53 Mn |
| Mar 31, 2025 | -31.55 Mn |
| Dec 31, 2024 | 3.69 Mn |
| Sep 30, 2024 | -10.59 Mn |
| Jun 30, 2024 | -53.05 Mn |
| Mar 31, 2024 | -8.30 Mn |
| Dec 31, 2023 | 27.47 Mn |
| Sep 30, 2023 | 6.29 Mn |
| Jun 30, 2023 | 1.96 Mn |
| Mar 31, 2023 | 1.51 Mn |
| Dec 31, 2022 | -26.68 Mn |
| Sep 30, 2022 | -18.39 Mn |
| Jun 30, 2022 | -16.11 Mn |
| Mar 31, 2022 | 30.76 Mn |
| Dec 31, 2021 | -206.59 Mn |
| Sep 30, 2021 | 223.40 Mn |
API Access
Intercorp Financial Services Exchange Rate Effect 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=exchange-rate-effect&ticker=IFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();