Inter (INTR) Other Operating Expenses (2021 - 2023)
Inter (INTR) reported Other Operating Expenses of -$93.64 million for Q3 2023, compared with -$84.27 million a year earlier.
Analysis
Inter (INTR) Other Operating Expenses (2021 - 2023) Analysis & Trends
For FY2022, Inter posted Other Operating Expenses of -$338.25 million.
- By year, Other Operating Expenses came in at -$243.45 million in FY2021, -$125.89 million in FY2020 and -$98.18 million in FY2019.
- Five-year quarterly Other Operating Expenses spans a low of -$148.11 million in Q2 2023 and a high of -$40.03 million in Q1 2021.
- Per Business Quant data, the three quarters before Q3 2023 came in at -$148.11 million (Q2 2023), -$74.26 million (Q1 2023) and -$87.03 million (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Inter | 3.45 Bn | 3.47 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -93.64 Mn |
| Jun 30, 2023 | -148.11 Mn |
| Mar 31, 2023 | -74.26 Mn |
| Dec 31, 2022 | -87.03 Mn |
| Sep 30, 2022 | -84.27 Mn |
| Jun 30, 2022 | -148.05 Mn |
| Mar 31, 2022 | -72.10 Mn |
| Dec 31, 2021 | -107.21 Mn |
| Sep 30, 2021 | -52.91 Mn |
| Mar 31, 2021 | -40.03 Mn |
API Access
Inter Other Operating Expenses 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=other-operating-expenses&ticker=INTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=INTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();