Hawthorn Bancshares (HWBK) Accumulated Expenses (2023 - 2026)
Hawthorn Bancshares' Accumulated Expenses was $18.52 million in Q2 2026, up 82.8% from $10.13 million a year earlier and up 37.8% from the prior quarter.
Hawthorn Bancshares (HWBK) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Hawthorn Bancshares came in at $11.01 million, up 12.8% from FY2024.
- In earlier years, Accumulated Expenses was $9.77 million in FY2024 (-8.9%) and $10.72 million in FY2023.
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with growth averaging 25.4% over the last five quarters.
- Per Business Quant data, HWBK's Accumulated Expenses in the three quarters before Q2 2026 was $13.44 million (Q1 2026), $11.01 million (Q4 2025) and $11.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - |
| 10 | Hawthorn Bancshares | 263.88 Mn | -98.56 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.52 Mn |
| Mar 31, 2026 | 13.44 Mn |
| Dec 31, 2025 | 11.01 Mn |
| Sep 30, 2025 | 11.89 Mn |
| Jun 30, 2025 | 10.13 Mn |
| Mar 31, 2025 | 9.51 Mn |
| Dec 31, 2024 | 9.77 Mn |
| Sep 30, 2024 | 12.02 Mn |
| Dec 31, 2023 | 10.72 Mn |
Hawthorn Bancshares Accumulated Expenses 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=accumulated-expenses&ticker=HWBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "HWBK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=HWBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();