Standex International (SXI) Net Income (2010 - 2026)
Standex International (SXI) posted Net Income of $23.55 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 52.1% from $15.49 million a year earlier but down 65.6% from the prior quarter.
Standex International (SXI) Net Income (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Standex International's Net Income came in at $128.54 million, up 122.8% from FY2025.
- Annual Net Income shows a five-year compound annual growth rate of 28.7% (FY2021 to FY2026).
- In prior fiscal years, Standex International's Net Income was $57.68 million in FY2025 (-21.1%), $73.07 million in FY2024 (-47.4%), $138.99 million in FY2023 (+126.4%) and $61.39 million in FY2022 (+68.3%).
- Quarterly Net Income has run from a low of $1.28 million in fiscal Q2 2025 to a high of $80.51 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Net Income increased in three of the last seven quarters, with growth averaging 23.8%.
- The strongest year-over-year quarter for Net Income in the past five years was fiscal Q3 2023, with growth of 364.8%; the weakest was fiscal Q2 2025, with a decline of 93.2%.
- According to Business Quant data, Net Income for the three prior fiscal quarters was $68.52 million (Q3 2026), $20.68 million (Q2 2026) and $15.8 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 3.59 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 1.78 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 1.38 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 823.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.09 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 497.80 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 718.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 938.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 815.00 Mn |
| 10 | Standex International | 3.29 Bn | 2.82 Bn | 97.44 Mn | 23.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.55 Mn |
| Mar 31, 2026 | 68.52 Mn |
| Dec 31, 2025 | 20.68 Mn |
| Sep 30, 2025 | 15.80 Mn |
| Jun 30, 2025 | 15.49 Mn |
| Mar 31, 2025 | 22.73 Mn |
| Dec 31, 2024 | 1.28 Mn |
| Sep 30, 2024 | 18.20 Mn |
| Jun 30, 2024 | 19.59 Mn |
| Mar 31, 2024 | 15.80 Mn |
| Dec 31, 2023 | 18.87 Mn |
| Sep 30, 2023 | 18.81 Mn |
| Jun 30, 2023 | 20.17 Mn |
| Mar 31, 2023 | 80.51 Mn |
| Dec 31, 2022 | 20.04 Mn |
| Sep 30, 2022 | 18.27 Mn |
| Jun 30, 2022 | 13.27 Mn |
| Mar 31, 2022 | 17.32 Mn |
| Dec 31, 2021 | 14.98 Mn |
| Sep 30, 2021 | 15.82 Mn |
Standex International Net Income 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=net-income&ticker=SXI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=SXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();