Inter (INTR) Shares Outstanding (2019 - 2026)
Inter's Shares Outstanding came in at 440.23 million for Q2 2026, up 1.0% from 435.93 million a year earlier and unchanged from the prior quarter.
Analysis
Inter (INTR) Shares Outstanding (2019 - 2026) Analysis & Trends
Going back to Q4 2019, Inter's Shares Outstanding data covers 23 quarters.
- Shares Outstanding has increased in each of the last three years, though with a five-year compound annual growth rate of -27.7% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 435.93 million in FY2024 (+8.5%), 401.77 million in FY2023 (+0.2%), 401.16 million in FY2022 (-84.2%) and 2.54 billion in FY2021 (+13.7%).
- The five-year range for quarterly Shares Outstanding is 401.16 million (Q4 2022) to 2.54 billion (Q3 2022).
- Year-over-year, Shares Outstanding has increased for 11 consecutive quarters, with growth averaging 4.6% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding over five years came in Q3 2022 (growth of 13.7%), and the weakest in Q4 2022 (a decline of 84.2%).
- Business Quant data shows INTR's Shares Outstanding at 440.23 million (Q1 2026), 440.23 million (Q4 2025) and 435.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | Inter | 3.45 Bn | 3.47 Bn | - | 440.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 440.23 Mn |
| Mar 31, 2026 | 440.23 Mn |
| Dec 31, 2025 | 440.23 Mn |
| Sep 30, 2025 | 435.93 Mn |
| Jun 30, 2025 | 435.93 Mn |
| Mar 31, 2025 | 435.93 Mn |
| Dec 31, 2024 | 435.93 Mn |
| Sep 30, 2024 | 401.77 Mn |
| Jun 30, 2024 | 401.77 Mn |
| Mar 31, 2024 | 401.77 Mn |
| Dec 31, 2023 | 401.77 Mn |
| Sep 30, 2023 | 401.16 Mn |
| Jun 30, 2023 | 401.16 Mn |
| Mar 31, 2023 | 401.16 Mn |
| Dec 31, 2022 | 401.16 Mn |
| Sep 30, 2022 | 2.54 Bn |
| Jun 30, 2022 | 2.54 Bn |
| Mar 31, 2022 | 2.54 Bn |
| Dec 31, 2021 | 2.54 Bn |
| Sep 30, 2021 | 2.23 Bn |
API Access
Inter Shares Outstanding 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=shares-outstanding&ticker=INTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=INTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();