South Plains Financial (SPFI) Retained Earnings (2018 - 2026)
South Plains Financial's Retained Earnings was $479.08 million in Q3 2026, up 13.6% from $421.54 million a year earlier and up 3.8% from the prior quarter.
South Plains Financial (SPFI) Retained Earnings (2018 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at South Plains Financial came in at $434.2 million, up 12.5% from FY2024.
- Retained Earnings has now increased for seven consecutive years, with a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $385.83 million in FY2024 (+11.7%), $345.26 million in FY2023 (+18.1%), $292.26 million in FY2022 (+20.4%) and $242.75 million in FY2021 (+28.1%).
- The Q3 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2018.
- Compared with a year earlier, Retained Earnings has increased for 28 straight quarters, with growth averaging 12.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 10.3% (Q3 2024) to 28.1% (Q4 2021).
- Per Business Quant data, SPFI's Retained Earnings in the three quarters before Q3 2026 was $461.71 million (Q2 2026), $445.97 million (Q1 2026) and $434.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 455.59 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | 735.16 Mn |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 278.81 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | 167.59 Bn |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 125.72 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 73.85 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 177.98 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 241.40 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | 66.96 Bn |
| 10 | South Plains Financial | 809.93 Mn | -2.03 Bn | - | 479.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 479.08 Mn |
| Jun 30, 2026 | 461.71 Mn |
| Mar 31, 2026 | 445.97 Mn |
| Dec 31, 2025 | 434.20 Mn |
| Sep 30, 2025 | 421.54 Mn |
| Jun 30, 2025 | 407.82 Mn |
| Mar 31, 2025 | 395.65 Mn |
| Dec 31, 2024 | 385.83 Mn |
| Sep 30, 2024 | 371.78 Mn |
| Jun 30, 2024 | 362.86 Mn |
| Mar 31, 2024 | 354.01 Mn |
| Dec 31, 2023 | 345.26 Mn |
| Sep 30, 2023 | 337.08 Mn |
| Jun 30, 2023 | 325.77 Mn |
| Mar 31, 2023 | 298.30 Mn |
| Dec 31, 2022 | 292.26 Mn |
| Sep 30, 2022 | 281.68 Mn |
| Jun 30, 2022 | 268.31 Mn |
| Mar 31, 2022 | 255.08 Mn |
| Dec 31, 2021 | 242.75 Mn |
South Plains Financial Retained Earnings 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=retained-earnings&ticker=SPFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SPFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();