Trustmark (TRMK) Shares Outstanding (Entity) (2009 - 2026)
Trustmark (TRMK) recorded Shares Outstanding (Entity) of 58.23 million in Q2 2026, down 3.6% from 60.4 million a year earlier and down 0.8% from the prior quarter.
Trustmark (TRMK) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Trustmark reported Shares Outstanding (Entity) of 59.01 million, down 3.3% from FY2024.
- Annual Shares Outstanding (Entity) has a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 61.01 million in FY2024 (-0.1%), 61.07 million in FY2023 (+0.2%), 60.98 million in FY2022 (-1.1%) and 61.65 million in FY2021 (-2.8%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Entity) in data going back to Q4 2009.
- On a year-over-year basis, Shares Outstanding (Entity) has declined for seven consecutive quarters, with an average decline of 1.7% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 0.2% in Q2 2024, against a decline of 3.6% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 58.68 million (Q1 2026), 59.01 million (Q4 2025) and 60.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 12.56 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.02 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 291.44 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.03 Bn |
| 10 | Trustmark | 2.61 Bn | 2.61 Bn | - | 58.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.23 Mn |
| Mar 31, 2026 | 58.68 Mn |
| Dec 31, 2025 | 59.01 Mn |
| Sep 30, 2025 | 60.13 Mn |
| Jun 30, 2025 | 60.40 Mn |
| Mar 31, 2025 | 60.72 Mn |
| Dec 31, 2024 | 61.01 Mn |
| Sep 30, 2024 | 61.21 Mn |
| Jun 30, 2024 | 61.21 Mn |
| Mar 31, 2024 | 61.18 Mn |
| Dec 31, 2023 | 61.07 Mn |
| Sep 30, 2023 | 61.07 Mn |
| Jun 30, 2023 | 61.07 Mn |
| Mar 31, 2023 | 61.05 Mn |
| Dec 31, 2022 | 60.98 Mn |
| Sep 30, 2022 | 60.95 Mn |
| Jun 30, 2022 | 61.20 Mn |
| Mar 31, 2022 | 61.46 Mn |
| Dec 31, 2021 | 61.65 Mn |
| Sep 30, 2021 | 62.46 Mn |
Trustmark Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=TRMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "TRMK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=TRMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();