Toro (TTC) Total Liabilities (2009 - 2026)
Toro's Total Liabilities was $2.2 billion in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 4.3% from $2.11 billion a year earlier but down 5.9% from the prior quarter.
Toro (TTC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Total Liabilities at Toro came in at $1.99 billion, down 2.2% from FY2024.
- Total Liabilities has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $2.03 billion in FY2024 (-4.8%), $2.13 billion in FY2023 (-3.2%), $2.2 billion in FY2022 (+23.5%) and $1.79 billion in FY2021 (+2.7%).
- Quarterly Total Liabilities has moved between $1.79 billion (fiscal Q4 2021) and $2.34 billion (fiscal Q2 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for three straight quarters, with growth averaging 0.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2022 (growth of 27.7%); the worst was fiscal Q4 2024 (a decline of 4.8%).
- Per Business Quant data, TTC's Total Liabilities in the three fiscal quarters before Q3 2026 was $2.34 billion (Q2 2026), $2.28 billion (Q1 2026) and $1.99 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Toro | 9.19 Bn | 8.30 Bn | 418.10 Mn | 2.20 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.20 Bn |
| May 1, 2026 | 2.34 Bn |
| Jan 30, 2026 | 2.28 Bn |
| Oct 31, 2025 | 1.99 Bn |
| Aug 1, 2025 | 2.11 Bn |
| May 2, 2025 | 2.31 Bn |
| Jan 31, 2025 | 2.23 Bn |
| Oct 31, 2024 | 2.03 Bn |
| Aug 2, 2024 | 2.10 Bn |
| May 3, 2024 | 2.20 Bn |
| Feb 2, 2024 | 2.25 Bn |
| Oct 31, 2023 | 2.13 Bn |
| Aug 4, 2023 | 2.11 Bn |
| May 5, 2023 | 2.18 Bn |
| Feb 3, 2023 | 2.21 Bn |
| Oct 31, 2022 | 2.20 Bn |
| Jul 29, 2022 | 2.15 Bn |
| Apr 29, 2022 | 2.26 Bn |
| Jan 28, 2022 | 2.13 Bn |
| Oct 31, 2021 | 1.79 Bn |
Toro 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=TTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TTC", "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=TTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();