Independent Bank (INDB) Provision for Credit Losses (2009 - 2026)
Independent Bank's Provision for Credit Losses came in at $6.5 million for Q3 2026, down 83.1% from $38.52 million a year earlier but up 4.0% from the prior quarter.
Independent Bank (INDB) Provision for Credit Losses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Independent Bank reported Provision for Credit Losses of $23 million, down 66.3% year-over-year; for FY2025, it came in at $65.47 million, up 80.6% from FY2024.
- Provision for Credit Losses has increased in each of the last three years, with a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Going back by year, Provision for Credit Losses was $36.25 million in FY2024 (+55.9%), $23.25 million in FY2023 (+257.7%), $6.5 million in FY2022 (-64.3%) and $18.21 million in FY2021 (-65.3%).
- The five-year range for quarterly Provision for Credit Losses is -$2 million (Q1 2022) to $38.52 million (Q3 2025).
- Year-over-year, Provision for Credit Losses has declined for four consecutive quarters, with growth averaging 25.9% over the last eight quarters.
- The fastest year-over-year change in Provision for Credit Losses over five years came in Q3 2024 (growth of 254.5%), and the weakest in Q4 2022 (a decline of 84.6%).
- Business Quant data shows INDB's Provision for Credit Losses at $6.25 million (Q2 2026), $5.5 million (Q1 2026) and $4.75 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Independent Bank | 3.98 Bn | 3.90 Bn | - | 6.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.50 Mn |
| Jun 30, 2026 | 6.25 Mn |
| Mar 31, 2026 | 5.50 Mn |
| Dec 31, 2025 | 4.75 Mn |
| Sep 30, 2025 | 38.52 Mn |
| Jun 30, 2025 | 7.20 Mn |
| Mar 31, 2025 | 15.00 Mn |
| Dec 31, 2024 | 7.50 Mn |
| Sep 30, 2024 | 19.50 Mn |
| Jun 30, 2024 | 4.25 Mn |
| Mar 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | 5.50 Mn |
| Sep 30, 2023 | 5.50 Mn |
| Jun 30, 2023 | 5.00 Mn |
| Mar 31, 2023 | 7.25 Mn |
| Dec 31, 2022 | 5.50 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Mar 31, 2022 | -2.00 Mn |
| Dec 31, 2021 | 35.71 Mn |
| Sep 30, 2021 | -10.00 Mn |
Independent Bank 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=INDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "INDB", "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=INDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();