Twin Disc (TWIN) Operating Expenses (2013 - 2026)
Twin Disc's Operating Expenses was $21.85 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 10.2% from $24.32 million a year earlier but up 2.8% from the prior quarter.
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Analysis
Twin Disc (TWIN) Operating Expenses (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Expenses at Twin Disc came in at $84.82 million, up 2.4% from FY2025.
- Operating Expenses has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $82.84 million in FY2025 (+15.3%), $71.84 million in FY2024 (+15.1%), $62.42 million in FY2023 (+2.2%) and $61.06 million in FY2022 (-3.3%).
- Quarterly Operating Expenses has moved between $13.14 million (fiscal Q1 2022) and $24.32 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 8.9%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q4 2024 (growth of 23.2%); the worst was fiscal Q4 2022 (a decline of 28.2%).
- Per Business Quant data, TWIN's Operating Expenses in the three fiscal quarters before Q4 2026 was $21.26 million (Q3 2026), $20.65 million (Q2 2026) and $20.7 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Twin Disc | 380.92 Mn | 319.93 Mn | 30.13 Mn | 21.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.85 Mn |
| Mar 27, 2026 | 21.26 Mn |
| Dec 26, 2025 | 20.65 Mn |
| Sep 26, 2025 | 20.70 Mn |
| Jun 30, 2025 | 24.32 Mn |
| Mar 28, 2025 | 20.05 Mn |
| Dec 27, 2024 | 18.92 Mn |
| Sep 27, 2024 | 19.49 Mn |
| Jun 30, 2024 | 20.37 Mn |
| Mar 29, 2024 | 17.34 Mn |
| Dec 29, 2023 | 17.29 Mn |
| Sep 29, 2023 | 16.92 Mn |
| Jun 30, 2023 | 16.52 Mn |
| Mar 31, 2023 | 14.66 Mn |
| Dec 30, 2022 | 16.15 Mn |
| Sep 30, 2022 | 15.10 Mn |
| Jun 30, 2022 | 16.76 Mn |
| Mar 25, 2022 | 14.70 Mn |
| Dec 31, 2021 | 16.46 Mn |
| Sep 24, 2021 | 13.14 Mn |
API Access
Twin Disc Operating Expenses 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=operating-expenses&ticker=TWIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TWIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=TWIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();