South Plains Financial (SPFI) Professional Fees (2018 - 2026)
South Plains Financial's Professional Fees was $1.94 million in Q3 2026, up 50.0% from $1.29 million a year earlier and up 4.9% from the prior quarter.
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Analysis
South Plains Financial (SPFI) Professional Fees (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, South Plains Financial's Professional Fees was $8.04 million through Sep 30, 2026, up 24.6% year-over-year; for FY2024, it was $6.58 million, up 2.3% from FY2023.
- Professional Fees shows a five-year compound annual growth rate of -2.1% (FY2019 to FY2024).
- In earlier years, Professional Fees was $6.43 million in FY2023 (-34.0%), $9.74 million in FY2022 (+44.3%), $6.75 million in FY2021 (+6.8%) and $6.32 million in FY2020 (-13.8%).
- Quarterly Professional Fees has moved between $1.29 million (Q3 2025) and $2.96 million (Q1 2026) over five years.
- Compared with a year earlier, Professional Fees was higher in five of the last seven quarters, with growth averaging 17.0%.
- The best year-over-year quarter for Professional Fees over five years was Q3 2022 (growth of 81.8%); the worst was Q3 2023 (a decline of 38.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | South Plains Financial | 809.93 Mn | -2.03 Bn | - | 1.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.94 Mn |
| Jun 30, 2026 | 1.85 Mn |
| Mar 31, 2026 | 2.96 Mn |
| Sep 30, 2025 | 1.29 Mn |
| Jun 30, 2025 | 1.87 Mn |
| Mar 31, 2025 | 1.73 Mn |
| Dec 31, 2024 | 1.56 Mn |
| Sep 30, 2024 | 1.81 Mn |
| Jun 30, 2024 | 1.74 Mn |
| Mar 31, 2024 | 1.48 Mn |
| Dec 31, 2023 | 1.51 Mn |
| Sep 30, 2023 | 1.56 Mn |
| Jun 30, 2023 | 1.72 Mn |
| Mar 31, 2023 | 1.65 Mn |
| Dec 31, 2022 | 1.95 Mn |
| Sep 30, 2022 | 2.52 Mn |
| Jun 30, 2022 | 2.65 Mn |
| Mar 31, 2022 | 2.63 Mn |
| Dec 31, 2021 | 2.27 Mn |
| Sep 30, 2021 | 1.39 Mn |
API Access
South Plains Financial Professional Fees 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=professional-fees&ticker=SPFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "SPFI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=professional-fees&ticker=SPFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();