Inter & Co, Inc. (INTR) Provision for Credit Losses (2020 - 2026)
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Analysis
Inter & Co, Inc. (INTR) Provision for Credit Losses (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.85 Bn |
| Mar 31, 2026 | 5.19 Bn |
| Dec 31, 2025 | 5.38 Bn |
| Sep 30, 2025 | 4.97 Bn |
| Jun 30, 2025 | 4.21 Bn |
| Mar 31, 2025 | 4.22 Bn |
| Dec 31, 2024 | 4.11 Bn |
| Sep 30, 2024 | -85.02 Mn |
| Jun 30, 2024 | -160.07 Mn |
| Mar 31, 2024 | -83.13 Mn |
| Dec 31, 2023 | -77.66 Mn |
| Sep 30, 2023 | -83.59 Mn |
| Jun 30, 2023 | -151.29 Mn |
| Mar 31, 2023 | -67.53 Mn |
| Dec 31, 2022 | -50.32 Mn |
| Sep 30, 2022 | -50.22 Mn |
| Jun 30, 2022 | -113.35 Mn |
| Mar 31, 2022 | -59.88 Mn |
| Dec 31, 2021 | 9.47 Mn |
| Sep 30, 2021 | -26.46 Mn |
API Access
Inter & Co, Inc. Provision for Credit Losses 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=provision-for-credit-losses&ticker=INTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=INTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();