Simmons First National (SFNC) Total Liabilities (2010 - 2026)
Simmons First National's Total Liabilities was $21.29 billion in Q2 2026, down 8.0% from $23.14 billion a year earlier but up 0.2% from the prior quarter.
Simmons First National (SFNC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Simmons First National came in at $21.12 billion, down 9.5% from FY2024.
- Total Liabilities has now declined for three consecutive years, though with a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $23.35 billion in FY2024 (-2.4%), $23.92 billion in FY2023 (-1.1%), $24.19 billion in FY2022 (+12.6%) and $21.48 billion in FY2021 (+10.8%).
- Quarterly Total Liabilities has moved between $20.2 billion (Q3 2021) and $24.6 billion (Q2 2023) over five years.
- Compared with a year earlier, Total Liabilities has declined for 11 straight quarters, with an average decline of 6.1% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2022 (growth of 18.4%); the worst was Q3 2025 (a decline of 12.2%).
- Per Business Quant data, SFNC's Total Liabilities in the three quarters before Q2 2026 was $21.26 billion (Q1 2026), $21.12 billion (Q4 2025) and $20.85 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 2,099.88 Bn |
| 10 | Simmons First National | 3.26 Bn | 3.21 Bn | - | 21.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.29 Bn |
| Mar 31, 2026 | 21.26 Bn |
| Dec 31, 2025 | 21.12 Bn |
| Sep 30, 2025 | 20.85 Bn |
| Jun 30, 2025 | 23.14 Bn |
| Mar 31, 2025 | 23.26 Bn |
| Dec 31, 2024 | 23.35 Bn |
| Sep 30, 2024 | 23.74 Bn |
| Jun 30, 2024 | 23.91 Bn |
| Mar 31, 2024 | 23.93 Bn |
| Dec 31, 2023 | 23.92 Bn |
| Sep 30, 2023 | 24.28 Bn |
| Jun 30, 2023 | 24.60 Bn |
| Mar 31, 2023 | 24.24 Bn |
| Dec 31, 2022 | 24.19 Bn |
| Sep 30, 2022 | 23.92 Bn |
| Jun 30, 2022 | 23.96 Bn |
| Mar 31, 2022 | 21.52 Bn |
| Dec 31, 2021 | 21.48 Bn |
| Sep 30, 2021 | 20.20 Bn |
Simmons First National Total Liabilities 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=total-liabilities&ticker=SFNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SFNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=SFNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();