Hancock Whitney (HWC) Prepaid Assets (2010 - 2026)
Hancock Whitney's Prepaid Assets came in at $66.14 million for Q2 2026, up 7.7% from $61.43 million a year earlier and up 9.5% from the prior quarter.
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Analysis
Hancock Whitney (HWC) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Hancock Whitney's Prepaid Assets was $58.85 million, up 28.6% from FY2024.
- Prepaid Assets has increased in each of the last four years, with a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- Going back by year, Prepaid Assets was $45.76 million in FY2024 (+1.2%), $45.23 million in FY2023 (+1.3%), $44.63 million in FY2022 (+15.1%) and $38.79 million in FY2021 (-6.4%).
- The Q2 2026 figure represents the highest quarterly Prepaid Assets since Q1 2012.
- Year-over-year, Prepaid Assets has increased for seven consecutive quarters, with growth averaging 9.8% over the last eight quarters.
- The fastest year-over-year change in Prepaid Assets over five years came in Q4 2025 (growth of 28.6%), and the weakest in Q3 2024 (a decline of 11.8%).
- Business Quant data shows HWC's Prepaid Assets at $60.39 million (Q1 2026), $58.85 million (Q4 2025) and $58.92 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.14 Mn |
| Mar 31, 2026 | 60.39 Mn |
| Dec 31, 2025 | 58.85 Mn |
| Sep 30, 2025 | 58.92 Mn |
| Jun 30, 2025 | 61.43 Mn |
| Mar 31, 2025 | 51.07 Mn |
| Dec 31, 2024 | 45.76 Mn |
| Sep 30, 2024 | 50.09 Mn |
| Jun 30, 2024 | 54.67 Mn |
| Mar 31, 2024 | 48.77 Mn |
| Dec 31, 2023 | 45.23 Mn |
| Sep 30, 2023 | 56.78 Mn |
| Jun 30, 2023 | 58.76 Mn |
| Mar 31, 2023 | 54.54 Mn |
| Dec 31, 2022 | 44.63 Mn |
| Sep 30, 2022 | 46.45 Mn |
| Jun 30, 2022 | 50.10 Mn |
| Mar 31, 2022 | 43.57 Mn |
| Dec 31, 2021 | 38.79 Mn |
| Sep 30, 2021 | 40.33 Mn |
API Access
Hancock Whitney Prepaid Assets 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=prepaid-assets&ticker=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();