Hancock Whitney (HWC) Maturities of AFS Securities (2009 - 2026)
Hancock Whitney (HWC) posted Maturities of AFS Securities of $127.49 million for Q2 2026, up 20.2% from $106.08 million a year earlier but down 5.0% from the prior quarter.
Hancock Whitney (HWC) Maturities of AFS Securities (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Maturities of AFS Securities at Hancock Whitney was $516.13 million, up 6.4% year-over-year; for FY2025, it was $452.77 million, down 0.3% from FY2024.
- Annual Maturities of AFS Securities shows a five-year compound annual growth rate of -14.7% (FY2020 to FY2025).
- In prior years, Hancock Whitney's Maturities of AFS Securities was $454.19 million in FY2024 (-44.1%), $813.21 million in FY2023 (+61.8%), $502.63 million in FY2022 (-53.2%) and $1.07 billion in FY2021 (+7.1%).
- Quarterly Maturities of AFS Securities has run from a low of $77.34 million in Q1 2023 to a high of $566.39 million in Q4 2023 over five years.
- On a year-over-year basis, Maturities of AFS Securities increased in five of the last eight quarters, with growth averaging 6.0%.
- The strongest year-over-year quarter for Maturities of AFS Securities in the past five years was Q4 2023, with growth of 548.0%; the weakest was Q4 2024, with a decline of 71.7%.
- According to Business Quant data, Maturities of AFS Securities for the three prior quarters was $134.25 million (Q1 2026), $150.72 million (Q4 2025) and $103.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Maturities of AFS Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 10.12 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 21.35 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 6.75 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 813.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 6.74 Bn |
| 10 | Hancock Whitney | 5.19 Bn | 2.93 Bn | - | 129.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 129.48 Mn |
| Jun 30, 2026 | 127.49 Mn |
| Mar 31, 2026 | 134.25 Mn |
| Dec 31, 2025 | 150.72 Mn |
| Sep 30, 2025 | 103.67 Mn |
| Jun 30, 2025 | 106.08 Mn |
| Mar 31, 2025 | 92.30 Mn |
| Dec 31, 2024 | 160.45 Mn |
| Sep 30, 2024 | 126.04 Mn |
| Jun 30, 2024 | 85.03 Mn |
| Mar 31, 2024 | 82.67 Mn |
| Dec 31, 2023 | 566.39 Mn |
| Sep 30, 2023 | 89.35 Mn |
| Jun 30, 2023 | 80.14 Mn |
| Mar 31, 2023 | 77.34 Mn |
| Dec 31, 2022 | 87.41 Mn |
| Sep 30, 2022 | 120.10 Mn |
| Jun 30, 2022 | 127.17 Mn |
| Mar 31, 2022 | 167.95 Mn |
| Dec 31, 2021 | 241.70 Mn |
Hancock Whitney Maturities of AFS Securities 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=maturities-of-afs-securities&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "maturities-of-afs-securities", "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=maturities-of-afs-securities&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();