Midland States Bancorp (MSBI) Securities (2017 - 2026)
Midland States Bancorp (MSBI) posted Securities of $1.91 billion for Q3 2026, up 38.4% from $1.38 billion a year earlier and up 15.5% from the prior quarter.
Midland States Bancorp (MSBI) Securities (2017 - 2026) Analysis & Trends
At the end of FY2025, Midland States Bancorp's Securities came in at $1.52 billion, up 26.1% from FY2024.
- Annual Securities has increased for three consecutive years, with a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- In prior years, Midland States Bancorp's Securities was $1.21 billion in FY2024 (+31.8%), $915.9 million in FY2023 (+19.2%), $768.23 million in FY2022 (-15.3%) and $906.6 million in FY2021 (+34.0%).
- The Q3 2026 figure stands as the highest quarterly Securities in data going back to Q4 2017.
- On a year-over-year basis, Securities has increased in each of the last 14 quarters, with growth averaging 25.5% over the last eight quarters.
- The strongest year-over-year quarter for Securities in the past five years was Q3 2024, with growth of 45.2%; the weakest was Q3 2022, with a decline of 23.5%.
- According to Business Quant data, Securities for the three prior quarters was $1.65 billion (Q2 2026), $1.59 billion (Q1 2026) and $1.52 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | - |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 842.03 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 103.93 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 461.18 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 9.78 Bn |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 544.29 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | Midland States Bancorp | 669.13 Mn | 13.73 Mn | - | 1.91 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.91 Bn |
| Jun 30, 2026 | 1.65 Bn |
| Mar 31, 2026 | 1.59 Bn |
| Dec 31, 2025 | 1.52 Bn |
| Sep 30, 2025 | 1.38 Bn |
| Jun 30, 2025 | 1.35 Bn |
| Mar 31, 2025 | 1.36 Bn |
| Dec 31, 2024 | 1.21 Bn |
| Sep 30, 2024 | 1.21 Bn |
| Jun 30, 2024 | 1.10 Bn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 915.90 Mn |
| Sep 30, 2023 | 835.01 Mn |
| Jun 30, 2023 | 882.72 Mn |
| Mar 31, 2023 | 812.29 Mn |
| Dec 31, 2022 | 768.23 Mn |
| Sep 30, 2022 | 681.89 Mn |
| Jun 30, 2022 | 760.54 Mn |
| Mar 31, 2022 | 849.07 Mn |
| Dec 31, 2021 | 906.60 Mn |
Midland States Bancorp 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=securities&ticker=MSBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities", "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=securities&ticker=MSBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();