Standex International (SXI) EBITDA (2010 - 2026)
Standex International's EBITDA was $46.95 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 4.7% from $44.86 million a year earlier but down 53.2% from the prior quarter.
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Analysis
Standex International (SXI) EBITDA (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), EBITDA at Standex International came in at $232.24 million, up 80.0% from FY2025.
- EBITDA shows a five-year compound annual growth rate of 20.2% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $128.99 million in FY2025 (-0.7%), $129.88 million in FY2024 (-34.9%), $199.56 million in FY2023 (+69.1%) and $117.99 million in FY2022 (+27.7%).
- Quarterly EBITDA has moved between $16.97 million (fiscal Q2 2025) and $100.27 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, EBITDA has increased for six straight quarters, with growth averaging 47.2% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q3 2023 (growth of 202.7%); the worst was fiscal Q3 2024 (a decline of 69.7%).
- Per Business Quant data, SXI's EBITDA in the three fiscal quarters before Q4 2026 was $100.27 million (Q3 2026), $45.56 million (Q2 2026) and $39.45 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Standex International | 3.29 Bn | 2.82 Bn | 97.44 Mn | 46.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.95 Mn |
| Mar 31, 2026 | 100.27 Mn |
| Dec 31, 2025 | 45.56 Mn |
| Sep 30, 2025 | 39.45 Mn |
| Jun 30, 2025 | 44.86 Mn |
| Mar 31, 2025 | 36.00 Mn |
| Dec 31, 2024 | 16.97 Mn |
| Sep 30, 2024 | 31.16 Mn |
| Jun 30, 2024 | 34.14 Mn |
| Mar 31, 2024 | 29.02 Mn |
| Dec 31, 2023 | 32.72 Mn |
| Sep 30, 2023 | 34.00 Mn |
| Jun 30, 2023 | 35.68 Mn |
| Mar 31, 2023 | 95.83 Mn |
| Dec 31, 2022 | 34.76 Mn |
| Sep 30, 2022 | 33.30 Mn |
| Jun 30, 2022 | 26.51 Mn |
| Mar 31, 2022 | 31.66 Mn |
| Dec 31, 2021 | 29.27 Mn |
| Sep 30, 2021 | 30.55 Mn |
API Access
Standex International EBITDA 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=ebitda&ticker=SXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();