Midland States Bancorp (MSBI) Revenue (2015 - 2026)
Midland States Bancorp (MSBI) recorded Revenue of $83.36 million in Q2 2026, up 1.4% from $82.23 million a year earlier and up 4.8% from the prior quarter.
Midland States Bancorp (MSBI) Revenue (2015 - 2026) Analysis & Trends
On a TTM basis, Midland States Bancorp's Revenue came in at $329.6 million as of Jun 30, 2026, down 4.4% year-over-year; for FY2025, it came in at $324.98 million, down 13.4% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $375.09 million in FY2024 (+3.2%), $363.61 million in FY2023 (-10.6%), $406.56 million in FY2022 (+46.5%) and $277.57 million in FY2021 (+6.6%).
- Quarterly Revenue has ranged from $66.54 million in Q3 2021 to $178.33 million in Q4 2022 over the past five years.
- On a year-over-year basis, Revenue rose in four of the last eight quarters, with an average decline of 5.0%.
- Peak year-over-year performance for Revenue in the last five years was growth of 132.1% in Q4 2022, against a decline of 48.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $79.54 million (Q1 2026), $85.57 million (Q4 2025) and $81.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 13.30 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 22.62 Bn |
| 10 | Midland States Bancorp | 671.31 Mn | -51.02 Mn | - | 83.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.36 Mn |
| Mar 31, 2026 | 79.54 Mn |
| Dec 31, 2025 | 85.57 Mn |
| Sep 30, 2025 | 81.13 Mn |
| Jun 30, 2025 | 82.23 Mn |
| Mar 31, 2025 | 76.05 Mn |
| Dec 31, 2024 | 93.94 Mn |
| Sep 30, 2024 | 92.66 Mn |
| Jun 30, 2024 | 90.88 Mn |
| Mar 31, 2024 | 97.61 Mn |
| Dec 31, 2023 | 92.02 Mn |
| Sep 30, 2023 | 88.09 Mn |
| Jun 30, 2023 | 91.29 Mn |
| Mar 31, 2023 | 92.21 Mn |
| Dec 31, 2022 | 178.33 Mn |
| Sep 30, 2022 | 79.85 Mn |
| Jun 30, 2022 | 75.95 Mn |
| Mar 31, 2022 | 72.44 Mn |
| Dec 31, 2021 | 76.82 Mn |
| Sep 30, 2021 | 66.54 Mn |
Midland States Bancorp Revenue 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=revenue&ticker=MSBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MSBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();