Equity Bancshares (EQBK) Amortization of Intangibles (2014 - 2026)
Equity Bancshares' Amortization of Intangibles was $2.32 million in Q2 2026, up 112.4% from $1.09 million a year earlier and up 15.6% from the prior quarter.
Equity Bancshares (EQBK) Amortization of Intangibles (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Equity Bancshares' Amortization of Intangibles was $6.91 million through Jun 30, 2026, up 56.6% year-over-year; for FY2025, it came in at $4.78 million, up 8.5% from FY2024.
- Amortization of Intangibles shows a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Amortization of Intangibles was $4.41 million in FY2024 (+25.3%), $3.52 million in FY2023 (-16.0%), $4.19 million in FY2022 (-1.3%) and $4.24 million in FY2021 (+8.8%).
- The Q2 2026 figure marks the highest quarterly Amortization of Intangibles in data going back to Q3 2015.
- Compared with a year earlier, Amortization of Intangibles has increased for four straight quarters, with growth averaging 38.6% over the last eight quarters.
- The best year-over-year quarter for Amortization of Intangibles over five years was Q2 2026 (growth of 112.4%); the worst was Q4 2023 (a decline of 19.4%).
- Per Business Quant data, EQBK's Amortization of Intangibles in the three quarters before Q2 2026 was $2 million (Q1 2026), $1.34 million (Q4 2025) and $1.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 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 | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Equity Bancshares | 1.01 Bn | -1.06 Bn | - | 1.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.89 Mn |
| Jun 30, 2026 | 2.32 Mn |
| Mar 31, 2026 | 2.00 Mn |
| Dec 31, 2025 | 1.34 Mn |
| Sep 30, 2025 | 1.26 Mn |
| Jun 30, 2025 | 1.09 Mn |
| Mar 31, 2025 | 1.10 Mn |
| Dec 31, 2024 | 1.07 Mn |
| Sep 30, 2024 | 1.15 Mn |
| Jun 30, 2024 | 1.25 Mn |
| Mar 31, 2024 | 935,000.00 |
| Dec 31, 2023 | 775,000.00 |
| Sep 30, 2023 | 835,000.00 |
| Jun 30, 2023 | 954,000.00 |
| Mar 31, 2023 | 954,000.00 |
| Dec 31, 2022 | 961,000.00 |
| Sep 30, 2022 | 992,000.00 |
| Jun 30, 2022 | 1.15 Mn |
| Mar 31, 2022 | 1.09 Mn |
| Dec 31, 2021 | 1.12 Mn |
Equity Bancshares Amortization of Intangibles 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=amortization-of-intangibles&ticker=EQBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-intangibles", "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=amortization-of-intangibles&ticker=EQBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();