Ing Groep (ING) Provision for Credit Losses (2009 - 2026)
Ing Groep's Provision for Credit Losses came in at $1.05 billion for Q2 2026, up 21.1% from $865.95 million a year earlier.
Ing Groep (ING) Provision for Credit Losses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ing Groep reported Provision for Credit Losses of $3.84 billion, up 6.6% year-over-year; for FY2025, it came in at $60.86 billion, up 11.8% from FY2024.
- Provision for Credit Losses has increased in each of the last three years, with a five-year compound annual growth rate of 82.0% (FY2020 to FY2025).
- Going back by year, Provision for Credit Losses was $54.41 billion in FY2024 (+4.1%), $52.26 billion in FY2023 (+3.0%) and $50.76 billion in FY2022.
- The five-year range for quarterly Provision for Credit Losses is $827.09 million (Q4 2024) to $1.14 billion (Q4 2021).
- Year-over-year, Provision for Credit Losses increased in two of the last four quarters, with growth averaging 7.9%.
- The fastest year-over-year change in Provision for Credit Losses over five years came in Q4 2021 (growth of 38.2%), and the weakest in Q4 2024 (a decline of 16.4%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 368.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.03 Bn |
| 10 | Ing Groep | 96.48 Bn | -445.67 Bn | - | 1.05 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.05 Bn |
| Dec 31, 2025 | 1.10 Bn |
| Jun 30, 2025 | 865.95 Mn |
| Dec 31, 2024 | 827.09 Mn |
| Jun 30, 2024 | 915.35 Mn |
| Dec 31, 2023 | 989.86 Mn |
| Dec 31, 2022 | 1.07 Bn |
| Jun 30, 2022 | 1.10 Bn |
| Dec 31, 2021 | 1.14 Bn |
| Jun 30, 2021 | 910.43 Mn |
| Dec 31, 2020 | 823.87 Mn |
| Jun 30, 2020 | 623.43 Mn |
| Dec 31, 2019 | 761.54 Mn |
| Jun 30, 2019 | 958.46 Mn |
| Dec 31, 2018 | 1.15 Bn |
| Jun 30, 2018 | 1.53 Bn |
| Dec 31, 2017 | 2.02 Bn |
| Jun 30, 2017 | 2.06 Bn |
| Dec 31, 2016 | 2.19 Bn |
| Dec 31, 2015 | 331.03 Bn |
Ing Groep 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=ING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "ING", "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=ING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();