South Plains Financial (SPFI) Accumulated Expenses (2018 - 2026)
South Plains Financial (SPFI) posted Accumulated Expenses of $66.93 million for Q3 2026, up 11.6% from $60 million a year earlier and up 11.0% from the prior quarter.
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Analysis
South Plains Financial (SPFI) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, South Plains Financial's Accumulated Expenses came in at $52.09 million, down 16.1% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- In prior years, South Plains Financial's Accumulated Expenses was $62.06 million in FY2024 (+1.1%), $61.36 million in FY2023 (+5.3%), $58.27 million in FY2022 (+87.7%) and $31.04 million in FY2021 (-0.6%).
- The Q3 2026 figure stands as the highest quarterly Accumulated Expenses since Q2 2024.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 4.5%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2022, with growth of 87.7%; the weakest was Q4 2025, with a decline of 16.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $60.32 million (Q2 2026), $53.36 million (Q1 2026) and $52.09 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | South Plains Financial | 811.95 Mn | -2.03 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 66.93 Mn |
| Jun 30, 2026 | 60.32 Mn |
| Mar 31, 2026 | 53.36 Mn |
| Dec 31, 2025 | 52.09 Mn |
| Sep 30, 2025 | 60.00 Mn |
| Jun 30, 2025 | 58.86 Mn |
| Mar 31, 2025 | 58.55 Mn |
| Dec 31, 2024 | 62.06 Mn |
| Sep 30, 2024 | 64.87 Mn |
| Jun 30, 2024 | 68.18 Mn |
| Mar 31, 2024 | 61.50 Mn |
| Dec 31, 2023 | 61.36 Mn |
| Sep 30, 2023 | 71.62 Mn |
| Jun 30, 2023 | 61.13 Mn |
| Mar 31, 2023 | 59.63 Mn |
| Dec 31, 2022 | 58.27 Mn |
| Sep 30, 2022 | 68.05 Mn |
| Jun 30, 2022 | 62.40 Mn |
| Mar 31, 2022 | 40.31 Mn |
| Dec 31, 2021 | 31.04 Mn |
API Access
South Plains Financial Accumulated 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=accumulated-expenses&ticker=SPFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SPFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();