Toro (TTC) EBIT (2009 - 2026)
Toro (TTC) posted EBIT of $115.2 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 77.8% from $64.8 million a year earlier but down 40.9% from the prior quarter.
Toro (TTC) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EBIT at Toro was $489.8 million, up 14.9% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $409.9 million, down 23.1% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior fiscal years, Toro's EBIT was $533.3 million in FY2024 (+23.8%), $430.7 million in FY2023 (-25.2%), $575.7 million in FY2022 (+11.1%) and $518.3 million in FY2021 (+21.6%).
- Quarterly EBIT has run from a low of -$19.1 million in fiscal Q3 2023 to a high of $218.8 million in fiscal Q2 2023 over five years.
- On a year-over-year basis, EBIT has increased in each of the last three quarters, with growth averaging 3.3% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q4 2022, with growth of 102.8%; the weakest was fiscal Q3 2025, with a decline of 56.2%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $195 million (Q2 2026), $87.1 million (Q1 2026) and $92.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.30 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.39 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.37 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 637.90 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.31 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 984.00 Mn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.15 Bn |
| 10 | Toro | 9.19 Bn | 8.30 Bn | 418.10 Mn | 115.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 115.20 Mn |
| May 1, 2026 | 195.00 Mn |
| Jan 30, 2026 | 87.10 Mn |
| Oct 31, 2025 | 92.50 Mn |
| Aug 1, 2025 | 64.80 Mn |
| May 2, 2025 | 174.80 Mn |
| Jan 31, 2025 | 77.80 Mn |
| Oct 31, 2024 | 109.00 Mn |
| Aug 2, 2024 | 148.10 Mn |
| May 3, 2024 | 187.60 Mn |
| Feb 2, 2024 | 88.60 Mn |
| Oct 31, 2023 | 94.60 Mn |
| Aug 4, 2023 | -19.10 Mn |
| May 5, 2023 | 218.80 Mn |
| Feb 3, 2023 | 136.40 Mn |
| Oct 31, 2022 | 150.45 Mn |
| Jul 29, 2022 | 163.05 Mn |
| Apr 29, 2022 | 170.58 Mn |
| Jan 28, 2022 | 91.63 Mn |
| Oct 31, 2021 | 74.18 Mn |
Toro EBIT 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=ebit&ticker=TTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=TTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();