Hancock Whitney (HWC) Amortizatization of Intangibles (2010 - 2026)
Hancock Whitney (HWC) posted Amortizatization of Intangibles of $2.22 million for Q2 2026, down 12.0% from $2.52 million a year earlier and down 12.8% from the prior quarter.
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Analysis
Hancock Whitney (HWC) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at Hancock Whitney was $10.09 million, up 10.4% year-over-year; for FY2025, it came in at $9.95 million, up 5.7% from FY2024.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of -13.0% (FY2020 to FY2025).
- In prior years, Hancock Whitney's Amortizatization of Intangibles was $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 stands as the lowest quarterly Amortizatization of Intangibles since Q1 2025.
- On a year-over-year basis, Amortizatization of Intangibles increased in four of the last eight quarters, with an average decline of 0.2%.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q1 2026, with growth of 20.6%; the weakest was Q2 2024, with a decline of 19.2%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $2.55 million (Q1 2026), $2.62 million (Q4 2025) and $2.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Hancock Whitney | 5.88 Bn | 3.68 Bn | - | 2.22 Mn |
Historic Data
Download Data
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 |
API Access
Hancock Whitney Amortizatization 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=amortizatization-of-intangibles&ticker=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();