Inter (INTR) Price to Book (2022 - 2026)
Inter's Price to Book came in at 1.67 for Q2 2026, down 42.3% from 2.89 a year earlier and down 35.8% from the prior quarter.
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Analysis
Inter (INTR) Price to Book (2022 - 2026) Analysis & Trends
For FY2025, Inter's Price to Book was 2.84, up 76.5% from FY2024.
- Going back by year, Price to Book was 1.61 in FY2024 (-22.8%), 2.08 in FY2023 (+200.9%) and 0.69 in FY2022.
- The Q2 2026 figure represents the lowest quarterly Price to Book since Q3 2023.
- Year-over-year, Price to Book increased in six of the last eight quarters, with growth averaging 29.8%.
- The fastest year-over-year change in Price to Book over five years came in Q1 2024 (growth of 279.6%), and the weakest in Q3 2023 (a decline of 82.5%).
- Business Quant data shows INTR's Price to Book at 2.60 (Q1 2026), 2.84 (Q4 2025) and 3.31 (Q3 2025) in the three quarters before Q2 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 | Inter | 3.42 Bn | 3.44 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.67 |
| Mar 31, 2026 | 2.60 |
| Dec 31, 2025 | 2.84 |
| Sep 30, 2025 | 3.31 |
| Jun 30, 2025 | 2.89 |
| Mar 31, 2025 | 2.30 |
| Dec 31, 2024 | 1.74 |
| Sep 30, 2024 | 2.38 |
| Jun 30, 2024 | 2.12 |
| Mar 31, 2024 | 1.89 |
| Dec 31, 2023 | 2.07 |
| Sep 30, 2023 | 1.06 |
| Jun 30, 2023 | 0.85 |
| Mar 31, 2023 | 0.50 |
| Dec 31, 2022 | 0.71 |
| Sep 30, 2022 | 6.08 |
API Access
Inter 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=INTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "INTR", "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=INTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();