Midland States Bancorp (MSBI) Accumulated Expenses (2021 - 2026)
Midland States Bancorp (MSBI) posted Accumulated Expenses of $84.09 million for Q3 2026, down 32.3% from $124.23 million a year earlier but up 6.8% from the prior quarter.
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Analysis
Midland States Bancorp (MSBI) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Midland States Bancorp's Accumulated Expenses came in at $91.49 million, down 26.4% from FY2024.
- Annual Accumulated Expenses shows a four-year compound annual growth rate of -0.6% (FY2021 to FY2025).
- In prior years, Midland States Bancorp's Accumulated Expenses was $124.27 million in FY2024 (+12.6%), $110.38 million in FY2023 (+37.6%), $80.22 million in FY2022 (-14.6%) and $93.88 million in FY2021.
- Quarterly Accumulated Expenses has run from a low of $66.17 million in Q1 2023 to a high of $124.27 million in Q4 2024 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last four quarters, with an average decline of 8.9% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2024, with growth of 55.4%; the weakest was Q3 2026, with a decline of 32.3%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $78.76 million (Q2 2026), $78.46 million (Q1 2026) and $91.49 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - |
| 10 | Midland States Bancorp | 669.13 Mn | 13.73 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 84.09 Mn |
| Jun 30, 2026 | 78.76 Mn |
| Mar 31, 2026 | 78.46 Mn |
| Dec 31, 2025 | 91.49 Mn |
| Sep 30, 2025 | 124.23 Mn |
| Jun 30, 2025 | 104.32 Mn |
| Mar 31, 2025 | 109.60 Mn |
| Dec 31, 2024 | 124.27 Mn |
| Sep 30, 2024 | 103.48 Mn |
| Jun 30, 2024 | 103.49 Mn |
| Mar 31, 2024 | 102.83 Mn |
| Dec 31, 2023 | 110.38 Mn |
| Sep 30, 2023 | 106.70 Mn |
| Jun 30, 2023 | 90.87 Mn |
| Mar 31, 2023 | 66.17 Mn |
| Dec 31, 2022 | 80.22 Mn |
| Sep 30, 2022 | 79.63 Mn |
| Jun 30, 2022 | 73.55 Mn |
| Dec 31, 2021 | 93.88 Mn |
API Access
Midland States Bancorp 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=MSBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MSBI", "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=MSBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();