Twin Disc (TWIN) Total Liabilities (2009 - 2026)
Twin Disc (TWIN) reported Total Liabilities of $184.85 million for fiscal Q1 2027 (quarter ended Sep 25, 2026), up 8.4% from $170.51 million a year earlier and up 2.0% from the prior quarter.
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Analysis
Twin Disc (TWIN) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Twin Disc posted Total Liabilities of $181.31 million, down 5.2% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of 4.6% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $191.17 million in FY2025 (+51.6%), $126.07 million in FY2024 (-12.2%), $143.66 million in FY2023 (-1.1%) and $145.34 million in FY2022 (+0.4%).
- Five-year quarterly Total Liabilities spans a low of $126.07 million in fiscal Q4 2024 and a high of $204.49 million in fiscal Q3 2026.
- Year over year, Total Liabilities gained in seven of the last eight quarters, with growth averaging 17.2%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2025 (growth of 51.6%); the low point was fiscal Q2 2022 (a decline of 16.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $181.31 million (Q4 2026), $204.49 million (Q3 2026) and $198.84 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 21.06 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Twin Disc | 350.53 Mn | 277.27 Mn | 25.43 Mn | 184.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 25, 2026 | 184.85 Mn |
| Jun 30, 2026 | 181.31 Mn |
| Mar 27, 2026 | 204.49 Mn |
| Dec 26, 2025 | 198.84 Mn |
| Sep 26, 2025 | 170.51 Mn |
| Jun 30, 2025 | 191.17 Mn |
| Mar 28, 2025 | 182.69 Mn |
| Dec 27, 2024 | 159.73 Mn |
| Sep 27, 2024 | 165.40 Mn |
| Jun 30, 2024 | 126.07 Mn |
| Mar 29, 2024 | 141.81 Mn |
| Dec 29, 2023 | 139.28 Mn |
| Sep 29, 2023 | 137.81 Mn |
| Jun 30, 2023 | 143.66 Mn |
| Mar 31, 2023 | 146.89 Mn |
| Dec 30, 2022 | 146.49 Mn |
| Sep 30, 2022 | 144.78 Mn |
| Jun 30, 2022 | 145.34 Mn |
| Mar 25, 2022 | 148.27 Mn |
| Dec 31, 2021 | 136.63 Mn |
API Access
Twin Disc Total Liabilities 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=total-liabilities&ticker=TWIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TWIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();