Hancock Whitney (HWC) Amortization - Intangibles (2009 - 2026)
Hancock Whitney (HWC) recorded Amortization - Intangibles of $2.22 million in Q2 2026, down 12.0% from $2.52 million a year earlier and down 12.8% from the prior quarter.
Hancock Whitney (HWC) Amortization - Intangibles (2009 - 2026) Analysis & Trends
On a TTM basis, Hancock Whitney's Amortization - Intangibles came in at $10.09 million as of Jun 30, 2026, up 10.4% year-over-year; for FY2025, it was $9.95 million, up 5.7% from FY2024.
- Annual Amortization - Intangibles has a five-year compound annual growth rate of -13.0% (FY2020 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $9.41 million in FY2024 (-18.5%), $11.56 million in FY2023 (-17.7%), $14.03 million in FY2022 (-15.8%) and $16.67 million in FY2021 (-16.3%).
- The Q2 2026 figure is the lowest quarterly Amortization - Intangibles since Q1 2025.
- On a year-over-year basis, Amortization - Intangibles rose in four of the last eight quarters, with an average decline of 0.2%.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 20.6% in Q1 2026, against a decline of 19.2% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.55 million (Q1 2026), $2.62 million (Q4 2025) and $2.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.22 Mn |
| Mar 31, 2026 | 2.55 Mn |
| Dec 31, 2025 | 2.62 Mn |
| Sep 30, 2025 | 2.69 Mn |
| Jun 30, 2025 | 2.52 Mn |
| Mar 31, 2025 | 2.11 Mn |
| Dec 31, 2024 | 2.21 Mn |
| Sep 30, 2024 | 2.29 Mn |
| Jun 30, 2024 | 2.39 Mn |
| Mar 31, 2024 | 2.53 Mn |
| Dec 31, 2023 | 2.67 Mn |
| Sep 30, 2023 | 2.81 Mn |
| Jun 30, 2023 | 2.96 Mn |
| Mar 31, 2023 | 3.11 Mn |
| Dec 31, 2022 | 3.27 Mn |
| Sep 30, 2022 | 3.43 Mn |
| Jun 30, 2022 | 3.59 Mn |
| Mar 31, 2022 | 3.75 Mn |
| Dec 31, 2021 | 3.92 Mn |
| Sep 30, 2021 | 4.08 Mn |
Hancock Whitney Amortization - 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-intangibles&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "HWC", "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-intangibles&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();