South Plains Financial (SPFI) EBITDA Margin (2018 - 2026)
South Plains Financial (SPFI) posted EBITDA Margin of 78.93% for Q2 2026, up 2.62 percentage points from 76.31% a year earlier and up 5.71 percentage points from the prior quarter.
South Plains Financial (SPFI) EBITDA Margin (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at South Plains Financial was 77.25%, down 4.12 percentage points year-over-year; for FY2025, it came in at 77.88%, down 6.04 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +42.52 percentage points (FY2020 to FY2025).
- In prior years, South Plains Financial's EBITDA Margin was 83.92% in FY2024 (+11.63 pp), 72.29% in FY2023 (+24.30 pp), 47.99% in FY2022 (+5.56 pp) and 42.43% in FY2021 (+7.07 pp).
- Quarterly EBITDA Margin has run from a low of 41.74% in Q3 2021 to a high of 86.94% in Q4 2024 over five years.
- On a year-over-year basis, EBITDA Margin increased in three of the last eight quarters, with an average year-over-year change of -2.61 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q3 2023, with a gain of 33.95 percentage points; the weakest was Q4 2025, with a drop of 10.83 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 73.21% (Q1 2026), 76.11% (Q4 2025) and 80.43% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 139.87% |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | South Plains Financial | 809.93 Mn | -2.03 Bn | - | 81.29% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 81.29% |
| Jun 30, 2026 | 78.93% |
| Mar 31, 2026 | 73.21% |
| Dec 31, 2025 | 76.11% |
| Sep 30, 2025 | 80.43% |
| Jun 30, 2025 | 76.31% |
| Mar 31, 2025 | 78.48% |
| Dec 31, 2024 | 86.94% |
| Sep 30, 2024 | 84.10% |
| Jun 30, 2024 | 80.67% |
| Mar 31, 2024 | 83.38% |
| Dec 31, 2023 | 83.08% |
| Sep 30, 2023 | 82.48% |
| Jun 30, 2023 | 67.66% |
| Mar 31, 2023 | 58.81% |
| Dec 31, 2022 | 56.40% |
| Sep 30, 2022 | 48.53% |
| Jun 30, 2022 | 45.29% |
| Mar 31, 2022 | 42.21% |
| Dec 31, 2021 | 42.29% |
South Plains Financial EBITDA Margin 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=ebitda-margin&ticker=SPFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=SPFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();