Standex International (SXI) Accumulated Expenses (2011 - 2026)
Standex International (SXI) reported Accumulated Expenses of $68 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 7.6% from $63.2 million a year earlier and up 6.0% from the prior quarter.
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Analysis
Standex International (SXI) Accumulated Expenses (2011 - 2026) Analysis & Trends
Dating back to fiscal Q4 2011, Standex International's Accumulated Expenses record includes 61 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 2.0% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $63.2 million in FY2025 (+11.5%), $56.7 million in FY2024 (-8.6%), $62.03 million in FY2023 (-8.5%) and $67.77 million in FY2022 (+9.8%).
- Five-year quarterly Accumulated Expenses spans a low of $50.57 million in fiscal Q1 2022 and a high of $69.4 million in fiscal Q2 2026.
- Year over year, Accumulated Expenses has now increased in each of the last seven quarters, with growth averaging 9.0% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q1 2026 (growth of 26.0%); the low point was fiscal Q1 2022 (a decline of 17.3%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $64.18 million (Q3 2026), $69.4 million (Q2 2026) and $66.65 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn |
| 10 | Standex International | 3.44 Bn | 2.96 Bn | 97.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.00 Mn |
| Mar 31, 2026 | 64.18 Mn |
| Dec 31, 2025 | 69.40 Mn |
| Sep 30, 2025 | 66.65 Mn |
| Jun 30, 2025 | 63.20 Mn |
| Mar 31, 2025 | 59.41 Mn |
| Dec 31, 2024 | 59.58 Mn |
| Sep 30, 2024 | 52.89 Mn |
| Jun 30, 2024 | 56.70 Mn |
| Mar 31, 2024 | 55.45 Mn |
| Dec 31, 2023 | 56.06 Mn |
| Sep 30, 2023 | 59.69 Mn |
| Jun 30, 2023 | 62.03 Mn |
| Mar 31, 2023 | 55.70 Mn |
| Dec 31, 2022 | 53.41 Mn |
| Sep 30, 2022 | 53.42 Mn |
| Jun 30, 2022 | 67.77 Mn |
| Mar 31, 2022 | 57.19 Mn |
| Dec 31, 2021 | 53.94 Mn |
| Sep 30, 2021 | 50.57 Mn |
API Access
Standex International Accumulated 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=accumulated-expenses&ticker=SXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();