Twin Disc (TWIN) Short-Term Debt repayments (2018 - 2026)
Twin Disc's Short-Term Debt repayments came in at $56.09 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 56.6% from $35.83 million a year earlier and up 141.8% from the prior quarter.
Twin Disc (TWIN) Short-Term Debt repayments (2018 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Twin Disc's Short-Term Debt repayments was $131.94 million, up 7.9% from FY2025.
- Short-Term Debt repayments carries a five-year compound annual growth rate of 11.0% (FY2021 to FY2026).
- Going back by fiscal year, Short-Term Debt repayments was $122.26 million in FY2025 (+50.7%), $81.11 million in FY2024 (-17.0%), $97.77 million in FY2023 (+2.2%) and $95.7 million in FY2022 (+22.1%).
- The fiscal Q4 2026 figure represents the highest quarterly Short-Term Debt repayments in data going back to fiscal Q1 2019.
- Year-over-year, Short-Term Debt repayments increased in six of the last eight quarters, with growth averaging 35.6%.
- The fastest year-over-year change in Short-Term Debt repayments over five years came in fiscal Q4 2025 (growth of 148.0%), and the weakest in fiscal Q4 2024 (a decline of 48.3%).
- Business Quant data shows TWIN's Short-Term Debt repayments at $23.2 million (Q3 2026), $24.68 million (Q2 2026) and $27.97 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 315.73 Bn | 287.43 Bn | 7.76 Bn | - |
| 2 | Amphenol | 182.70 Bn | 177.41 Bn | 3.55 Bn | - |
| 3 | Deere | 174.18 Bn | 182.94 Bn | 4.66 Bn | - |
| 4 | Eaton | 142.17 Bn | 139.40 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 110.97 Bn | 109.10 Bn | 2.25 Bn | - |
| 6 | Emerson Electric | 90.14 Bn | 82.89 Bn | 2.66 Bn | - |
| 7 | 3M | 89.64 Bn | 72.05 Bn | 2.78 Bn | - |
| 8 | Illinois Tool Works | 78.53 Bn | 75.09 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 74.79 Bn | 65.41 Bn | 1.23 Bn | - |
| 10 | Twin Disc | 354.02 Mn | 293.03 Mn | 30.13 Mn | 56.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.09 Mn |
| Mar 27, 2026 | 23.20 Mn |
| Dec 26, 2025 | 24.68 Mn |
| Sep 26, 2025 | 27.97 Mn |
| Jun 30, 2025 | 35.83 Mn |
| Mar 28, 2025 | 31.61 Mn |
| Dec 27, 2024 | 28.03 Mn |
| Sep 27, 2024 | 26.79 Mn |
| Jun 30, 2024 | 14.45 Mn |
| Mar 29, 2024 | 16.03 Mn |
| Dec 29, 2023 | 27.21 Mn |
| Sep 29, 2023 | 23.42 Mn |
| Jun 30, 2023 | 27.95 Mn |
| Mar 31, 2023 | 23.20 Mn |
| Dec 30, 2022 | 27.94 Mn |
| Sep 30, 2022 | 18.69 Mn |
| Jun 30, 2022 | 22.51 Mn |
| Mar 25, 2022 | 17.64 Mn |
| Dec 31, 2021 | 34.96 Mn |
| Sep 24, 2021 | 20.59 Mn |
Twin Disc Short-Term Debt repayments 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=short-term-debt-repayments&ticker=TWIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=TWIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();