Standex International (SXI) Revenue (2010 - 2026)
Standex International (SXI) recorded Revenue of $228.25 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 2.8% from $222.05 million a year earlier and up 1.6% from the prior quarter.
Standex International (SXI) Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Standex International reported Revenue of $891.6 million, up 12.8% from FY2025.
- Annual Revenue has a five-year compound annual growth rate of 6.3% (FY2021 to FY2026).
- Across earlier fiscal years, Revenue came in at $790.11 million in FY2025 (+9.6%), $720.64 million in FY2024 (-2.8%), $741.05 million in FY2023 (+0.8%) and $735.34 million in FY2022 (+12.1%).
- The fiscal Q4 2026 figure is the highest quarterly Revenue in data going back to fiscal Q1 2011.
- On a year-over-year basis, Revenue has increased for seven consecutive quarters, with growth averaging 11.8% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 27.6% in fiscal Q1 2026, against a decline of 7.7% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $224.6 million (Q3 2026), $221.32 million (Q2 2026) and $217.43 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.54 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 8.76 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 8.53 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 5.76 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 3.27 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 4.87 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 6.50 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 4.30 Bn |
| 10 | Standex International | 3.29 Bn | 2.82 Bn | 97.44 Mn | 228.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 228.25 Mn |
| Mar 31, 2026 | 224.60 Mn |
| Dec 31, 2025 | 221.32 Mn |
| Sep 30, 2025 | 217.43 Mn |
| Jun 30, 2025 | 222.05 Mn |
| Mar 31, 2025 | 207.78 Mn |
| Dec 31, 2024 | 189.81 Mn |
| Sep 30, 2024 | 170.46 Mn |
| Jun 30, 2024 | 180.19 Mn |
| Mar 31, 2024 | 177.27 Mn |
| Dec 31, 2023 | 178.40 Mn |
| Sep 30, 2023 | 184.77 Mn |
| Jun 30, 2023 | 188.33 Mn |
| Mar 31, 2023 | 184.33 Mn |
| Dec 31, 2022 | 187.79 Mn |
| Sep 30, 2022 | 180.60 Mn |
| Jun 30, 2022 | 184.74 Mn |
| Mar 31, 2022 | 189.28 Mn |
| Dec 31, 2021 | 185.71 Mn |
| Sep 30, 2021 | 175.61 Mn |
Standex International Revenue 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=revenue&ticker=SXI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();