Hancock Whitney (HWC) Intangibles (2009 - 2026)
Hancock Whitney's Intangibles was $62.3 million in Q2 2026, down 13.9% from $72.39 million a year earlier and down 3.4% from the prior quarter.
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Analysis
Hancock Whitney (HWC) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Hancock Whitney came in at $67.07 million, up 90.4% from FY2024.
- Intangibles shows a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- In earlier years, Intangibles was $35.22 million in FY2024 (-21.1%), $44.64 million in FY2023 (-20.6%), $56.19 million in FY2022 (-20.0%) and $70.23 million in FY2021 (-19.2%).
- The Q2 2026 figure marks the lowest quarterly Intangibles since Q1 2025.
- Compared with a year earlier, Intangibles was higher in four of the last eight quarters, with growth averaging 34.6%.
- The best year-over-year quarter for Intangibles over five years was Q1 2026 (growth of 94.9%); the worst was Q1 2025 (a decline of 21.4%).
- Per Business Quant data, HWC's Intangibles in the three quarters before Q2 2026 was $64.52 million (Q1 2026), $67.07 million (Q4 2025) and $69.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 91.48 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 | - | 5.87 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 5.26 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 | - | 62.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.30 Mn |
| Mar 31, 2026 | 64.52 Mn |
| Dec 31, 2025 | 67.07 Mn |
| Sep 30, 2025 | 69.69 Mn |
| Jun 30, 2025 | 72.39 Mn |
| Mar 31, 2025 | 33.11 Mn |
| Dec 31, 2024 | 35.22 Mn |
| Sep 30, 2024 | 37.43 Mn |
| Jun 30, 2024 | 39.72 Mn |
| Mar 31, 2024 | 42.11 Mn |
| Dec 31, 2023 | 44.64 Mn |
| Sep 30, 2023 | 47.31 Mn |
| Jun 30, 2023 | 50.12 Mn |
| Mar 31, 2023 | 53.08 Mn |
| Dec 31, 2022 | 56.19 Mn |
| Sep 30, 2022 | 59.46 Mn |
| Jun 30, 2022 | 62.89 Mn |
| Mar 31, 2022 | 66.48 Mn |
| Dec 31, 2021 | 70.23 Mn |
| Sep 30, 2021 | 74.15 Mn |
API Access
Hancock Whitney 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=intangibles&ticker=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();