Toro (TTC) Operating Expenses (2009 - 2026)
Toro (TTC) reported Operating Expenses of $259.8 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 10.1% from $235.9 million a year earlier but down 9.7% from the prior quarter.
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Analysis
Toro (TTC) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Toro's Operating Expenses came in at $1.06 billion, up 6.0% year-over-year; for FY2025 (ended Oct 31, 2025), it was $1.01 billion, down 0.2% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $1.02 billion in FY2024 (+2.0%), $995.6 million in FY2023 (+7.2%), $928.9 million in FY2022 (+13.3%) and $820.2 million in FY2021 (+7.4%).
- Five-year quarterly Operating Expenses spans a low of $208.85 million in fiscal Q1 2022 and a high of $287.7 million in fiscal Q2 2026.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 2.3%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2023 (growth of 24.3%); the low point was fiscal Q3 2025 (a decline of 7.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $287.7 million (Q2 2026), $249.4 million (Q1 2026) and $258.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Toro | 9.19 Bn | 8.30 Bn | 418.10 Mn | 259.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 259.80 Mn |
| May 1, 2026 | 287.70 Mn |
| Jan 30, 2026 | 249.40 Mn |
| Oct 31, 2025 | 258.20 Mn |
| Aug 1, 2025 | 235.90 Mn |
| May 2, 2025 | 261.90 Mn |
| Jan 31, 2025 | 257.80 Mn |
| Oct 31, 2024 | 240.00 Mn |
| Aug 2, 2024 | 254.70 Mn |
| May 3, 2024 | 265.40 Mn |
| Feb 2, 2024 | 255.90 Mn |
| Oct 31, 2023 | 235.00 Mn |
| Aug 4, 2023 | 240.20 Mn |
| May 5, 2023 | 260.90 Mn |
| Feb 3, 2023 | 259.50 Mn |
| Oct 31, 2022 | 248.40 Mn |
| Jul 29, 2022 | 236.86 Mn |
| Apr 29, 2022 | 234.79 Mn |
| Jan 28, 2022 | 208.85 Mn |
| Oct 31, 2021 | 215.21 Mn |
API Access
Toro 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=TTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();