ServisFirst Bancshares (SFBS) Operating Expenses (2010 - 2026)
ServisFirst Bancshares' Operating Expenses came in at $49.96 million for Q2 2026, up 13.0% from $44.2 million a year earlier and up 5.4% from the prior quarter.
ServisFirst Bancshares (SFBS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, ServisFirst Bancshares reported Operating Expenses of $192.02 million, up 5.0% year-over-year; for FY2025, it came in at $184.99 million, up 2.1% from FY2024.
- Operating Expenses has increased in each of the last 16 years, with a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $181.15 million in FY2024 (+1.7%), $178.05 million in FY2023 (+12.8%), $157.82 million in FY2022 (+18.6%) and $133.09 million in FY2021 (+19.4%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2023.
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 1.7%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2023 (growth of 52.9%), and the weakest in Q4 2024 (a decline of 19.5%).
- Business Quant data shows SFBS's Operating Expenses at $47.38 million (Q1 2026), $46.68 million (Q4 2025) and $48 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | ServisFirst Bancshares | 4.37 Bn | -2.32 Bn | - | 49.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.96 Mn |
| Mar 31, 2026 | 47.38 Mn |
| Dec 31, 2025 | 46.68 Mn |
| Sep 30, 2025 | 48.00 Mn |
| Jun 30, 2025 | 44.20 Mn |
| Mar 31, 2025 | 46.11 Mn |
| Dec 31, 2024 | 46.90 Mn |
| Sep 30, 2024 | 45.63 Mn |
| Jun 30, 2024 | 42.82 Mn |
| Mar 31, 2024 | 46.23 Mn |
| Dec 31, 2023 | 58.26 Mn |
| Sep 30, 2023 | 41.66 Mn |
| Jun 30, 2023 | 38.47 Mn |
| Mar 31, 2023 | 39.66 Mn |
| Dec 31, 2022 | 38.09 Mn |
| Sep 30, 2022 | 42.69 Mn |
| Jun 30, 2022 | 39.82 Mn |
| Mar 31, 2022 | 37.22 Mn |
| Dec 31, 2021 | 38.49 Mn |
| Sep 30, 2021 | 34.38 Mn |
ServisFirst Bancshares Operating 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=operating-expenses&ticker=SFBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SFBS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SFBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();