Inter (INTR) Asset Writedowns and Impairment (2022 - 2023)
Inter's Asset Writedowns and Impairment was $324.36 million in Q2 2026, up 69.6% from $191.29 million a year earlier.
Inter (INTR) Asset Writedowns and Impairment (2022 - 2023) Analysis & Trends
On a trailing twelve-month basis, Inter's Asset Writedowns and Impairment was $44.09 million through Jun 30, 2026, down 82.6% year-over-year; for FY2025, it came in at -$448.2 million.
- In earlier years, Asset Writedowns and Impairment was -$335.8 million in FY2024, -$308.93 million in FY2023, -$210.2 million in FY2022 and -$110.6 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Asset Writedowns and Impairment in data going back to Q3 2021.
- Per Business Quant data, INTR's Asset Writedowns and Impairment in the three quarters before Q2 2026 was -$148.44 million (Q1 2026), -$448.2 million (Q4 2025) and $316.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Inter | 1.74 Bn | -6.71 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 77.66 Mn |
| Sep 30, 2023 | 83.59 Mn |
| Dec 31, 2022 | 50.32 Mn |
| Sep 30, 2022 | 50.22 Mn |
Inter Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=INTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=INTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();