Standex International (SXI) Cost of Revenue (2010 - 2026)
Standex International's Cost of Revenue was $130.82 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), unchanged from $130.75 million a year earlier and down 1.4% from the prior quarter.
Standex International (SXI) Cost of Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Cost of Revenue at Standex International came in at $519.57 million, up 9.4% from FY2025.
- Cost of Revenue shows a five-year compound annual growth rate of 4.6% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $474.86 million in FY2025 (+8.3%), $438.63 million in FY2024 (-3.8%), $455.95 million in FY2023 (-2.0%) and $465.39 million in FY2022 (+12.2%).
- Quarterly Cost of Revenue has moved between $100.39 million (fiscal Q1 2025) and $132.66 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Cost of Revenue was higher in six of the last eight quarters, with growth averaging 9.4%.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q1 2026 (growth of 26.5%); the worst was fiscal Q1 2025 (a decline of 10.5%).
- Per Business Quant data, SXI's Cost of Revenue in the three fiscal quarters before Q4 2026 was $132.66 million (Q3 2026), $129.09 million (Q2 2026) and $127 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Standex International | 3.48 Bn | 3.00 Bn | 97.44 Mn | 130.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.82 Mn |
| Mar 31, 2026 | 132.66 Mn |
| Dec 31, 2025 | 129.09 Mn |
| Sep 30, 2025 | 127.00 Mn |
| Jun 30, 2025 | 130.75 Mn |
| Mar 31, 2025 | 125.35 Mn |
| Dec 31, 2024 | 118.37 Mn |
| Sep 30, 2024 | 100.39 Mn |
| Jun 30, 2024 | 110.78 Mn |
| Mar 31, 2024 | 108.98 Mn |
| Dec 31, 2023 | 106.74 Mn |
| Sep 30, 2023 | 112.14 Mn |
| Jun 30, 2023 | 114.70 Mn |
| Mar 31, 2023 | 113.44 Mn |
| Dec 31, 2022 | 115.47 Mn |
| Sep 30, 2022 | 112.35 Mn |
| Jun 30, 2022 | 118.18 Mn |
| Mar 31, 2022 | 120.90 Mn |
| Dec 31, 2021 | 116.94 Mn |
| Sep 30, 2021 | 109.37 Mn |
Standex International Cost of 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=cost-of-revenue&ticker=SXI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=SXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();