Equity Bancshares (EQBK) Provision for Losses (2015 - 2026)
Equity Bancshares' Provision for Losses was $1.3 million in Q2 2026, compared with $19,000 a year earlier and down 78.1% from the prior quarter.
Equity Bancshares (EQBK) Provision for Losses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Equity Bancshares' Provision for Losses was $13.47 million through Jun 30, 2026, up 234.9% year-over-year; for FY2025, it came in at $8.95 million, up 251.6% from FY2024.
- Provision for Losses shows a five-year compound annual growth rate of -18.1% (FY2020 to FY2025).
- In earlier years, Provision for Losses was $2.55 million in FY2024 (+35.9%), $1.87 million in FY2023, $125,000 in FY2022 and -$8.48 million in FY2021.
- Quarterly Provision for Losses has moved between -$2.13 million (Q4 2021) and $6.23 million (Q3 2025) over five years.
- Compared with a year earlier, Provision for Losses was higher in three of the last six quarters, with growth averaging 89.1%.
- The best year-over-year quarter for Provision for Losses over five years was Q3 2025 (growth of 426.5%); the worst was Q2 2025 (a decline of 92.8%).
- Per Business Quant data, EQBK's Provision for Losses in the three quarters before Q2 2026 was $5.96 million (Q1 2026), -$16,000 (Q4 2025) and $6.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 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 | - | 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 | Equity Bancshares | 1.01 Bn | -1.06 Bn | - | 1.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.66 Mn |
| Jun 30, 2026 | 1.30 Mn |
| Mar 31, 2026 | 5.96 Mn |
| Dec 31, 2025 | -16,000.00 |
| Sep 30, 2025 | 6.23 Mn |
| Jun 30, 2025 | 19,000.00 |
| Mar 31, 2025 | 2.72 Mn |
| Dec 31, 2024 | 98,000.00 |
| Sep 30, 2024 | 1.18 Mn |
| Jun 30, 2024 | 265,000.00 |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 711,000.00 |
| Sep 30, 2023 | 1.23 Mn |
| Jun 30, 2023 | 298,000.00 |
| Mar 31, 2023 | -366,000.00 |
| Dec 31, 2022 | -151,000.00 |
| Sep 30, 2022 | -136,000.00 |
| Jun 30, 2022 | 824,000.00 |
| Mar 31, 2022 | -412,000.00 |
| Dec 31, 2021 | -2.13 Mn |
Equity Bancshares Provision for 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-losses&ticker=EQBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "EQBK", "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-losses&ticker=EQBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();