Hancock Whitney (HWC) Amortization - Intangibles (2009 - 2026)
Hancock Whitney (HWC) recorded Amortization - Intangibles of $2.89 million in Q3 2026, up 7.1% from $2.69 million a year earlier and up 29.8% 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 $10.28 million as of Sep 30, 2026, up 7.8% 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 Q3 2026 figure is the highest quarterly Amortization - Intangibles since Q2 2023.
- On a year-over-year basis, Amortization - Intangibles rose in five of the last eight quarters, with growth averaging 3.0%.
- 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 $2.22 million (Q2 2026), $2.55 million (Q1 2026) and $2.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | Hancock Whitney | 5.19 Bn | 2.93 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.89 Mn |
| 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 |
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();