Sb Financial (SBFG) Interest Expenses (2010 - 2026)
Sb Financial (SBFG) recorded Interest Expenses of $6.87 million in Q2 2026, up 8.3% from $6.34 million a year earlier and up 4.1% from the prior quarter.
Sb Financial (SBFG) Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Sb Financial's Interest Expenses came in at $26.5 million as of Jun 30, 2026, up 7.1% year-over-year; for FY2025, it was $25.47 million, up 4.3% from FY2024.
- Annual Interest Expenses has increased for four straight years, with a five-year compound annual growth rate of 30.6% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $24.43 million in FY2024 (+29.4%), $18.88 million in FY2023 (+265.2%), $5.17 million in FY2022 (+28.6%) and $4.02 million in FY2021 (-40.0%).
- The Q2 2026 figure is the highest quarterly Interest Expenses in data going back to Q2 2010.
- On a year-over-year basis, Interest Expenses has increased for five consecutive quarters, with growth averaging 7.8% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 419.5% in Q2 2023, against a decline of 34.8% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.6 million (Q1 2026), $6.56 million (Q4 2025) and $6.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Sb Financial | 178.90 Mn | 178.90 Mn | - | 6.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.87 Mn |
| Mar 31, 2026 | 6.60 Mn |
| Dec 31, 2025 | 6.56 Mn |
| Sep 30, 2025 | 6.48 Mn |
| Jun 30, 2025 | 6.34 Mn |
| Mar 31, 2025 | 6.09 Mn |
| Dec 31, 2024 | 5.95 Mn |
| Sep 30, 2024 | 6.36 Mn |
| Jun 30, 2024 | 6.00 Mn |
| Mar 31, 2024 | 6.12 Mn |
| Dec 31, 2023 | 5.54 Mn |
| Sep 30, 2023 | 5.26 Mn |
| Jun 30, 2023 | 4.58 Mn |
| Mar 31, 2023 | 3.50 Mn |
| Dec 31, 2022 | 2.04 Mn |
| Sep 30, 2022 | 1.33 Mn |
| Jun 30, 2022 | 881,000.00 |
| Mar 31, 2022 | 918,000.00 |
| Dec 31, 2021 | 925,000.00 |
| Sep 30, 2021 | 1.01 Mn |
Sb Financial Interest 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=interest-expenses&ticker=SBFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "SBFG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=SBFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();