Hancock Whitney (HWC) Purchase of AFS Securities (2009 - 2026)
Hancock Whitney's Purchase of AFS Securities came in at $185.79 million for Q2 2026, down 48.2% from $358.86 million a year earlier and down 88.4% from the prior quarter.
Hancock Whitney (HWC) Purchase of AFS Securities (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hancock Whitney reported Purchase of AFS Securities of $2.5 billion, up 156.7% year-over-year; for FY2025, it was $1.24 billion, up 65.0% from FY2024.
- Purchase of AFS Securities carries a five-year compound annual growth rate of -12.2% (FY2020 to FY2025).
- Going back by year, Purchase of AFS Securities was $750.27 million in FY2024 (-28.2%), $1.04 billion in FY2023 (+64.4%), $635.59 million in FY2022 (-74.9%) and $2.53 billion in FY2021 (+6.5%).
- The Q2 2026 figure represents the lowest quarterly Purchase of AFS Securities since Q1 2025.
- Year-over-year, Purchase of AFS Securities increased in five of the last eight quarters, with growth averaging 200.3%.
- The fastest year-over-year change in Purchase of AFS Securities over five years came in Q1 2026 (growth of 923.4%), and the weakest in Q2 2022 (a decline of 85.5%).
- Business Quant data shows HWC's Purchase of AFS Securities at $1.6 billion (Q1 2026), $518.95 million (Q4 2025) and $203.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Purchase of AFS Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 73.61 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | -69.51 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 7.20 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 25.10 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 32.96 Bn |
| 10 | Hancock Whitney | 5.19 Bn | 2.93 Bn | - | 406.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 406.07 Mn |
| Jun 30, 2026 | 185.79 Mn |
| Mar 31, 2026 | 1.60 Bn |
| Dec 31, 2025 | 518.95 Mn |
| Sep 30, 2025 | 203.98 Mn |
| Jun 30, 2025 | 358.86 Mn |
| Mar 31, 2025 | 155.95 Mn |
| Dec 31, 2024 | 207.51 Mn |
| Sep 30, 2024 | 253.62 Mn |
| Jun 30, 2024 | 167.49 Mn |
| Mar 31, 2024 | 121.65 Mn |
| Dec 31, 2023 | 1.00 Bn |
| Sep 30, 2023 | 40.05 Mn |
| Dec 31, 2022 | 118.42 Mn |
| Sep 30, 2022 | 133.78 Mn |
| Jun 30, 2022 | 154.94 Mn |
| Mar 31, 2022 | 228.45 Mn |
| Dec 31, 2021 | 291.55 Mn |
| Jun 30, 2021 | 1.07 Bn |
| Mar 31, 2021 | 1.16 Bn |
Hancock Whitney Purchase 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=purchase-of-afs-securities&ticker=HWC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "purchase-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=purchase-of-afs-securities&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();