Trustmark (TRMK) Non Operating Interest Expenses (2009 - 2024)
Trustmark (TRMK) reported Non Operating Interest Expenses of $98.12 million for Q2 2024, up 24.8% from $78.62 million a year earlier and up 1.1% from the prior quarter.
Trustmark (TRMK) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
Over the twelve months ended Jun 30, 2024, Trustmark's Non Operating Interest Expenses came in at $381.16 million, up 113.9% year-over-year; for FY2023, it came in at $325.95 million, up 591.7% from FY2022.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 37.6% (FY2018 to FY2023).
- By year, Non Operating Interest Expenses came in at $47.13 million in FY2022 (+95.1%), $24.16 million in FY2021 (-42.2%), $41.8 million in FY2020 (-50.2%) and $83.9 million in FY2019 (+26.8%).
- The Q2 2024 figure ranks as the highest quarterly Non Operating Interest Expenses in data going back to Q2 2009.
- Year over year, Non Operating Interest Expenses has now increased in each of the last four quarters, with growth averaging 305.0% over the last six quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2023 (growth of 980.6%); the low point was Q3 2020 (a decline of 62.5%).
- Per Business Quant data, the three quarters before Q2 2024 came in at $97.01 million (Q1 2024), $96.14 million (Q4 2023) and $89.89 million (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Trustmark | 2.61 Bn | 2.61 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 98.12 Mn |
| Mar 31, 2024 | 97.01 Mn |
| Dec 31, 2023 | 96.14 Mn |
| Sep 30, 2023 | 89.89 Mn |
| Jun 30, 2023 | 78.62 Mn |
| Mar 31, 2023 | 61.31 Mn |
| Dec 31, 2022 | 29.93 Mn |
| Sep 30, 2022 | 8.32 Mn |
| Jun 30, 2022 | 4.51 Mn |
| Mar 31, 2022 | 4.37 Mn |
| Dec 31, 2021 | 5.05 Mn |
| Sep 30, 2021 | 5.48 Mn |
| Jun 30, 2021 | 6.50 Mn |
| Mar 31, 2021 | 7.14 Mn |
| Dec 31, 2020 | 7.55 Mn |
| Sep 30, 2020 | 8.16 Mn |
| Jun 30, 2020 | 9.65 Mn |
| Mar 31, 2020 | 16.44 Mn |
| Dec 31, 2019 | 19.05 Mn |
| Sep 30, 2019 | 21.76 Mn |
Trustmark Non Operating Interest 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=non-operating-interest-expenses&ticker=TRMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=TRMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();