Standex International (SXI) Interest Expenses (2010 - 2026)
Standex International's Interest Expenses came in at $6.56 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 27.3% from $9.02 million a year earlier and down 10.5% from the prior quarter.
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Analysis
Standex International (SXI) Interest Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Standex International's Interest Expenses was $30.71 million, up 28.3% from FY2025.
- Interest Expenses carries a five-year compound annual growth rate of 38.7% (FY2021 to FY2026).
- Going back by fiscal year, Interest Expenses was $23.93 million in FY2025 (+426.7%), $4.54 million in FY2024 (-15.9%), $5.41 million in FY2023 (-8.0%) and $5.87 million in FY2022 (-2.0%).
- The fiscal Q4 2026 figure represents the lowest quarterly Interest Expenses since fiscal Q2 2025.
- Year-over-year, Interest Expenses increased in five of the last eight quarters, with growth averaging 326.6%.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q1 2026 (growth of 812.2%), and the weakest in fiscal Q2 2024 (a decline of 34.9%).
- Business Quant data shows SXI's Interest Expenses at $7.33 million (Q3 2026), $7.91 million (Q2 2026) and $8.91 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Standex International | 3.29 Bn | 2.82 Bn | 97.44 Mn | 6.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.56 Mn |
| Mar 31, 2026 | 7.33 Mn |
| Dec 31, 2025 | 7.91 Mn |
| Sep 30, 2025 | 8.91 Mn |
| Jun 30, 2025 | 9.02 Mn |
| Mar 31, 2025 | 8.36 Mn |
| Dec 31, 2024 | 5.58 Mn |
| Sep 30, 2024 | 977,000.00 |
| Jun 30, 2024 | 1.30 Mn |
| Mar 31, 2024 | 949,000.00 |
| Dec 31, 2023 | 1.02 Mn |
| Sep 30, 2023 | 1.28 Mn |
| Jun 30, 2023 | 1.24 Mn |
| Mar 31, 2023 | 1.42 Mn |
| Dec 31, 2022 | 1.57 Mn |
| Sep 30, 2022 | 1.19 Mn |
| Jun 30, 2022 | 1.39 Mn |
| Mar 31, 2022 | 1.24 Mn |
| Dec 31, 2021 | 1.53 Mn |
| Sep 30, 2021 | 1.72 Mn |
API Access
Standex International 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=SXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "SXI", "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=SXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();