Standex International (SXI) Operating Expenses (2010 - 2026)
Standex International (SXI) posted Operating Expenses of $59.64 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 11.2% from $53.64 million a year earlier.
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Analysis
Standex International (SXI) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Standex International's Operating Expenses came in at $231.47 million, up 7.8% from FY2025.
- Annual Operating Expenses has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 6.8% (FY2021 to FY2026).
- In prior fiscal years, Standex International's Operating Expenses was $214.8 million in FY2025 (+20.8%), $177.81 million in FY2024 (+0.9%), $176.17 million in FY2023 (+1.1%) and $174.29 million in FY2022 (+4.7%).
- Quarterly Operating Expenses has run from a low of -$17.62 million in fiscal Q3 2023 to a high of $62.98 million in fiscal Q2 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 2.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2025, with growth of 37.4%; the weakest was fiscal Q3 2026, with a decline of 98.0%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $1.11 million (Q3 2026), $56.66 million (Q2 2026) and $60.8 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 5.03 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | Standex International | 3.26 Bn | 2.78 Bn | 97.44 Mn | 59.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.64 Mn |
| Mar 31, 2026 | 1.11 Mn |
| Dec 31, 2025 | 56.66 Mn |
| Sep 30, 2025 | 60.80 Mn |
| Jun 30, 2025 | 53.64 Mn |
| Mar 31, 2025 | 56.18 Mn |
| Dec 31, 2024 | 62.98 Mn |
| Sep 30, 2024 | 45.97 Mn |
| Jun 30, 2024 | 41.88 Mn |
| Mar 31, 2024 | 46.45 Mn |
| Dec 31, 2023 | 45.83 Mn |
| Sep 30, 2023 | 45.72 Mn |
| Jun 30, 2023 | 45.08 Mn |
| Mar 31, 2023 | -17.62 Mn |
| Dec 31, 2022 | 44.51 Mn |
| Sep 30, 2022 | 41.96 Mn |
| Jun 30, 2022 | 43.23 Mn |
| Mar 31, 2022 | 43.91 Mn |
| Dec 31, 2021 | 47.00 Mn |
| Sep 30, 2021 | 43.41 Mn |
API Access
Standex International Operating 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=operating-expenses&ticker=SXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();