Toro (TTC) EBITDA (2009 - 2026)
Toro's EBITDA was $143.6 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 48.0% from $97 million a year earlier but down 38.1% from the prior quarter.
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Analysis
Toro (TTC) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Toro's EBITDA was $635.3 million through Jul 31, 2026, up 13.7% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $552.8 million, down 16.4% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $661.5 million in FY2024 (+20.3%), $549.9 million in FY2023 (-19.7%), $684.5 million in FY2022 (+10.8%) and $617.6 million in FY2021 (+18.3%).
- Quarterly EBITDA has moved between $8.1 million (fiscal Q3 2023) and $246.7 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with growth averaging 2.3% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2022 (growth of 79.0%); the worst was fiscal Q3 2023 (a decline of 95.7%).
- Per Business Quant data, TTC's EBITDA in the three fiscal quarters before Q3 2026 was $231.8 million (Q2 2026), $120.3 million (Q1 2026) and $139.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Toro | 9.19 Bn | 8.30 Bn | 418.10 Mn | 143.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 143.60 Mn |
| May 1, 2026 | 231.80 Mn |
| Jan 30, 2026 | 120.30 Mn |
| Oct 31, 2025 | 139.60 Mn |
| Aug 1, 2025 | 97.00 Mn |
| May 2, 2025 | 206.30 Mn |
| Jan 31, 2025 | 109.90 Mn |
| Oct 31, 2024 | 145.40 Mn |
| Aug 2, 2024 | 179.00 Mn |
| May 3, 2024 | 217.80 Mn |
| Feb 2, 2024 | 119.30 Mn |
| Oct 31, 2023 | 130.40 Mn |
| Aug 4, 2023 | 8.10 Mn |
| May 5, 2023 | 246.70 Mn |
| Feb 3, 2023 | 164.70 Mn |
| Oct 31, 2022 | 180.18 Mn |
| Jul 29, 2022 | 189.10 Mn |
| Apr 29, 2022 | 198.61 Mn |
| Jan 28, 2022 | 116.61 Mn |
| Oct 31, 2021 | 100.68 Mn |
API Access
Toro EBITDA 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=ebitda&ticker=TTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();