Inter (INTR) Price to Earnings (2022 - 2026)
Inter's (INTR) Price to Earnings was 9.09 for Q2 2026, down 62.9% from 24.50 a year earlier and down 52.7% from the prior quarter.
Analysis
Inter (INTR) Price to Earnings (2022 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Inter was 22.48, up 39.7% from FY2024.
- By year, Price to Earnings came in at 16.09 in FY2024 (-69.3%) and 52.33 in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Price to Earnings in data going back to Q2 2022.
- Year over year, Price to Earnings gained in four of the last eight quarters, with an average decline of 12.2%.
- The high point for year-over-year Price to Earnings in five years was Q4 2025 (growth of 73.0%); the low point was Q2 2023 (a decline of 87.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 19.22 (Q1 2026), 23.21 (Q4 2025) and 27.88 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Inter | 3.54 Bn | 3.56 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.09 |
| Mar 31, 2026 | 19.22 |
| Dec 31, 2025 | 23.21 |
| Sep 30, 2025 | 27.88 |
| Jun 30, 2025 | 24.50 |
| Mar 31, 2025 | 16.46 |
| Dec 31, 2024 | 13.42 |
| Sep 30, 2024 | 20.41 |
| Jun 30, 2024 | 21.78 |
| Mar 31, 2024 | 33.13 |
| Dec 31, 2023 | 49.91 |
| Sep 30, 2023 | 41.02 |
| Jun 30, 2023 | 85.31 |
| Jun 30, 2022 | 693.75 |
API Access
Inter Price to Earnings 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-earnings&ticker=INTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=INTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();