Pinnacle Financial Partners (PNFP) Operating Expenses (2025 - 2026)
Pinnacle Financial Partners' Operating Expenses was $721 million in Q2 2026, up 152.1% from $286 million a year earlier but down 24.3% from the prior quarter.
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Analysis
Pinnacle Financial Partners (PNFP) Operating Expenses (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pinnacle Financial Partners' Operating Expenses was $2.23 billion through Jun 30, 2026; for FY2025, it was $1.17 billion, up 12.8% from FY2024.
- In earlier years, Operating Expenses was $1.03 billion in FY2024 (+16.6%) and $887.77 million in FY2023.
- Quarterly Operating Expenses has moved between $275 million (Q1 2025) and $952 million (Q1 2026) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Pinnacle Financial Partners | 14.12 Bn | -6.01 Bn | - | 721.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 721.00 Mn |
| Mar 31, 2026 | 952.00 Mn |
| Jun 30, 2025 | 286.00 Mn |
| Mar 31, 2025 | 275.00 Mn |
API Access
Pinnacle Financial Partners 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=PNFP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PNFP", "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=PNFP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();