Intercorp Financial Services (IFS) Price to Book (2019 - 2026)
Intercorp Financial Services' Price to Book came in at 0.49 for the quarter ended Jun 30, 2026, up 30.0% from 0.38 a year earlier and up 8.8% from the prior quarter.
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Analysis
Intercorp Financial Services (IFS) Price to Book (2019 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Intercorp Financial Services' Price to Book was 0.38, up 25.1% from the prior year.
- Going back by year, Price to Book was 0.30 in the year ended Dec 31, 2024 (+19.9%), 0.25 in the year ended Dec 31, 2023 (-6.5%), 0.27 in the year ended Dec 31, 2022 (-15.3%) and 0.32 in the year ended Dec 31, 2021 (-23.6%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Price to Book since the quarter ended Dec 31, 2019.
- Year-over-year, Price to Book has increased for eight consecutive quarters, with growth averaging 29.4% over the last eight quarters.
- The fastest year-over-year change in Price to Book over five years came in the quarter ended Jun 30, 2025 (growth of 49.5%), and the weakest in the quarter ended Mar 31, 2023 (a decline of 39.9%).
- Business Quant data shows IFS's Price to Book at 0.45 (quarter ended Mar 31, 2026), 0.38 (quarter ended Dec 31, 2025) and 0.38 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - |
| 10 | Intercorp Financial Services | 6.03 Bn | 6.10 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.49 |
| Mar 31, 2026 | 0.45 |
| Dec 31, 2025 | 0.38 |
| Sep 30, 2025 | 0.38 |
| Jun 30, 2025 | 0.38 |
| Mar 31, 2025 | 0.34 |
| Dec 31, 2024 | 0.30 |
| Sep 30, 2024 | 0.28 |
| Jun 30, 2024 | 0.25 |
| Mar 31, 2024 | 0.26 |
| Dec 31, 2023 | 0.25 |
| Sep 30, 2023 | 0.25 |
| Jun 30, 2023 | 0.31 |
| Mar 31, 2023 | 0.29 |
| Dec 31, 2022 | 0.27 |
| Sep 30, 2022 | 0.26 |
| Jun 30, 2022 | 0.32 |
| Mar 31, 2022 | 0.48 |
| Dec 31, 2021 | 0.32 |
| Sep 30, 2021 | 0.26 |
API Access
Intercorp Financial Services Price to Book 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=price-to-book&ticker=IFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();