Eastern Bankshares (EBC) Provisions (2019 - 2026)
Eastern Bankshares (EBC) posted Provisions of $6.76 million for Q2 2026, down 11.1% from $7.6 million a year earlier but up 17.4% from the prior quarter.
Eastern Bankshares (EBC) Provisions (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provisions at Eastern Bankshares was $24.51 million, down 64.0% year-over-year; for FY2025, it was $26.2 million, down 61.1% from FY2024.
- Annual Provisions shows a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- In prior years, Eastern Bankshares' Provisions was $67.38 million in FY2024 (+236.0%), $20.05 million in FY2023 (+11.9%), $17.93 million in FY2022 and -$9.69 million in FY2021.
- Quarterly Provisions has run from a low of -$4.32 million in Q4 2021 to a high of $46.98 million in Q3 2024 over five years.
- On a year-over-year basis, Provisions has declined in each of the last four quarters, with growth averaging 56.2% over the last eight quarters.
- The strongest year-over-year quarter for Provisions in the past five years was Q2 2023, with growth of 614.4%; the weakest was Q3 2025, with a decline of 84.9%.
- According to Business Quant data, Provisions for the three prior quarters was $5.76 million (Q1 2026), $4.9 million (Q4 2025) and $7.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 914.00 Mn |
| 10 | Eastern Bankshares | 4.84 Bn | 4.58 Bn | - | 6.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.76 Mn |
| Mar 31, 2026 | 5.76 Mn |
| Dec 31, 2025 | 4.90 Mn |
| Sep 30, 2025 | 7.10 Mn |
| Jun 30, 2025 | 7.60 Mn |
| Mar 31, 2025 | 6.60 Mn |
| Dec 31, 2024 | 6.82 Mn |
| Sep 30, 2024 | 46.98 Mn |
| Jun 30, 2024 | 6.13 Mn |
| Mar 31, 2024 | 7.45 Mn |
| Dec 31, 2023 | 5.15 Mn |
| Sep 30, 2023 | 7.33 Mn |
| Jun 30, 2023 | 7.50 Mn |
| Mar 31, 2023 | 25,000.00 |
| Dec 31, 2022 | 10.88 Mn |
| Sep 30, 2022 | 6.48 Mn |
| Jun 30, 2022 | 1.05 Mn |
| Mar 31, 2022 | -485,000.00 |
| Dec 31, 2021 | -4.32 Mn |
| Sep 30, 2021 | -1.49 Mn |
Eastern Bankshares Provisions 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=provisions&ticker=EBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "ticker": "EBC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provisions&ticker=EBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();