Twin Disc (TWIN) Accumulated Expenses (2009 - 2026)
Twin Disc's Accumulated Expenses was $78.68 million in fiscal Q1 2027 (quarter ended Sep 25, 2026), down 0.1% from $78.79 million a year earlier and down 4.9% from the prior quarter.
Twin Disc (TWIN) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Accumulated Expenses at Twin Disc came in at $82.74 million, up 2.6% from FY2025.
- Accumulated Expenses has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 12.7% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $80.66 million in FY2025 (+29.2%), $62.41 million in FY2024 (+1.3%), $61.59 million in FY2023 (+21.9%) and $50.54 million in FY2022 (+11.0%).
- Quarterly Accumulated Expenses has moved between $47.3 million (fiscal Q2 2022) and $82.74 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in seven of the last eight quarters, with growth averaging 11.1%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2025 (growth of 29.2%); the worst was fiscal Q1 2027 (a decline of 0.1%).
- Per Business Quant data, TWIN's Accumulated Expenses in the three fiscal quarters before Q1 2027 was $82.74 million (Q4 2026), $81.13 million (Q3 2026) and $75.43 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn |
| 10 | Twin Disc | 350.53 Mn | 277.27 Mn | 25.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 25, 2026 | 78.68 Mn |
| Jun 30, 2026 | 82.74 Mn |
| Mar 27, 2026 | 81.13 Mn |
| Dec 26, 2025 | 75.43 Mn |
| Sep 26, 2025 | 78.79 Mn |
| Jun 30, 2025 | 80.66 Mn |
| Mar 28, 2025 | 72.13 Mn |
| Dec 27, 2024 | 69.28 Mn |
| Sep 27, 2024 | 70.26 Mn |
| Jun 30, 2024 | 62.41 Mn |
| Mar 29, 2024 | 63.41 Mn |
| Dec 29, 2023 | 62.93 Mn |
| Sep 29, 2023 | 60.63 Mn |
| Jun 30, 2023 | 61.59 Mn |
| Mar 31, 2023 | 56.89 Mn |
| Dec 30, 2022 | 55.94 Mn |
| Sep 30, 2022 | 49.16 Mn |
| Jun 30, 2022 | 50.54 Mn |
| Mar 25, 2022 | 48.78 Mn |
| Dec 31, 2021 | 47.30 Mn |
Twin Disc Accumulated 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=accumulated-expenses&ticker=TWIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TWIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();