Standex International (SXI) Restructuring Costs (2010 - 2026)
Standex International (SXI) reported Restructuring Costs of $2.76 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 167.0% from $1.03 million a year earlier but down 7.6% from the prior quarter.
Powered by 
Analysis
Standex International (SXI) Restructuring Costs (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Standex International posted Restructuring Costs of $12.19 million, down 43.1% from FY2025.
- Restructuring Costs has a five-year compound annual growth rate of 28.5% (FY2021 to FY2026).
- By fiscal year, Restructuring Costs came in at $21.43 million in FY2025 (+161.2%), $8.21 million in FY2024 (+114.2%), $3.83 million in FY2023 (-12.9%) and $4.4 million in FY2022 (+26.5%).
- Five-year quarterly Restructuring Costs spans a low of $440,000 in fiscal Q1 2022 and a high of $16.4 million in fiscal Q2 2025.
- Year over year, Restructuring Costs gained in four of the last seven quarters, with growth averaging 42.6%.
- The high point for year-over-year Restructuring Costs in five years was fiscal Q1 2024 (growth of 227.5%); the low point was fiscal Q2 2026 (a decline of 96.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $2.99 million (Q3 2026), $617,000 (Q2 2026) and $6 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.76 Mn |
| Mar 31, 2026 | 2.99 Mn |
| Dec 31, 2025 | 617,000.00 |
| Sep 30, 2025 | 6.00 Mn |
| Jun 30, 2025 | 1.03 Mn |
| Mar 31, 2025 | 2.20 Mn |
| Dec 31, 2024 | 16.40 Mn |
| Sep 30, 2024 | 1.84 Mn |
| Jun 30, 2024 | 903,000.00 |
| Mar 31, 2024 | 4.04 Mn |
| Dec 31, 2023 | 1.36 Mn |
| Sep 30, 2023 | 1.91 Mn |
| Jun 30, 2023 | 501,000.00 |
| Mar 31, 2023 | 2.24 Mn |
| Dec 31, 2022 | 511,000.00 |
| Sep 30, 2022 | 582,000.00 |
| Jun 30, 2022 | 1.93 Mn |
| Mar 31, 2022 | 1.19 Mn |
| Dec 31, 2021 | 925,000.00 |
| Sep 30, 2021 | 440,000.00 |
API Access
Standex International Restructuring Costs 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=restructuring-costs&ticker=SXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=SXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();