South Plains Financial (SPFI) Revenue (2018 - 2026)
South Plains Financial (SPFI) recorded Revenue of $64.49 million in Q2 2026, up 18.0% from $54.67 million a year earlier and up 19.1% from the prior quarter.
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Analysis
South Plains Financial (SPFI) Revenue (2018 - 2026) Analysis & Trends
On a TTM basis, South Plains Financial's Revenue came in at $226.71 million as of Jun 30, 2026, up 11.3% year-over-year; for FY2025, it was $211.89 million, up 8.6% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $195.17 million in FY2024 (-10.9%), $218.97 million in FY2023 (+2.0%), $214.62 million in FY2022 (-2.1%) and $219.23 million in FY2021 (-2.1%).
- The Q2 2026 figure is the highest quarterly Revenue since Q2 2023.
- On a year-over-year basis, Revenue has increased for seven consecutive quarters, with growth averaging 10.0% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 46.0% in Q2 2023, against a decline of 40.5% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $54.15 million (Q1 2026), $53.88 million (Q4 2025) and $54.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 50.17 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 29.96 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 20.34 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 13.30 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 18.68 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 21.87 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | South Plains Financial | 809.93 Mn | -2.03 Bn | - | 65.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65.27 Mn |
| Jun 30, 2026 | 64.49 Mn |
| Mar 31, 2026 | 54.15 Mn |
| Dec 31, 2025 | 53.88 Mn |
| Sep 30, 2025 | 54.18 Mn |
| Jun 30, 2025 | 54.67 Mn |
| Mar 31, 2025 | 49.15 Mn |
| Dec 31, 2024 | 51.87 Mn |
| Sep 30, 2024 | 47.93 Mn |
| Jun 30, 2024 | 48.60 Mn |
| Mar 31, 2024 | 46.78 Mn |
| Dec 31, 2023 | 44.31 Mn |
| Sep 30, 2023 | 47.97 Mn |
| Jun 30, 2023 | 81.69 Mn |
| Mar 31, 2023 | 45.01 Mn |
| Dec 31, 2022 | 49.00 Mn |
| Sep 30, 2022 | 56.04 Mn |
| Jun 30, 2022 | 55.94 Mn |
| Mar 31, 2022 | 53.64 Mn |
| Dec 31, 2021 | 54.38 Mn |
API Access
South Plains Financial Revenue 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=revenue&ticker=SPFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SPFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();