South Plains Financial (SPFI) Cash & Equivalents (2018 - 2026)
South Plains Financial (SPFI) recorded Cash & Equivalents of $776.74 million in Q3 2026, up 22.3% from $635.05 million a year earlier but down 1.4% from the prior quarter.
South Plains Financial (SPFI) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, South Plains Financial reported Cash & Equivalents of $552.44 million, up 53.8% from FY2024.
- Annual Cash & Equivalents has increased for three straight years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $359.08 million in FY2024 (+8.8%), $330.16 million in FY2023 (+40.6%), $234.88 million in FY2022 (-51.8%) and $486.82 million in FY2021 (+62.1%).
- Quarterly Cash & Equivalents has ranged from $234.88 million in Q4 2022 to $787.76 million in Q2 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for 13 consecutive quarters, with growth averaging 40.5% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 67.4% in Q2 2026, against a decline of 51.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $787.76 million (Q2 2026), $722 million (Q1 2026) and $552.44 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 2.20 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 249.64 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 222.46 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 138.67 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 45.78 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 176.77 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 | - | 776.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 776.74 Mn |
| Jun 30, 2026 | 787.76 Mn |
| Mar 31, 2026 | 722.00 Mn |
| Dec 31, 2025 | 552.44 Mn |
| Sep 30, 2025 | 635.05 Mn |
| Jun 30, 2025 | 470.50 Mn |
| Mar 31, 2025 | 536.30 Mn |
| Dec 31, 2024 | 359.08 Mn |
| Sep 30, 2024 | 471.17 Mn |
| Jun 30, 2024 | 298.01 Mn |
| Mar 31, 2024 | 371.94 Mn |
| Dec 31, 2023 | 330.16 Mn |
| Sep 30, 2023 | 352.42 Mn |
| Jun 30, 2023 | 295.58 Mn |
| Mar 31, 2023 | 328.00 Mn |
| Dec 31, 2022 | 234.88 Mn |
| Sep 30, 2022 | 329.96 Mn |
| Jun 30, 2022 | 375.69 Mn |
| Mar 31, 2022 | 528.61 Mn |
| Dec 31, 2021 | 486.82 Mn |
South Plains Financial Cash & Equivalents 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=cash-and-equivalents&ticker=SPFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SPFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();