Toro (TTC) Depreciation and Depletion (2018 - 2026)
Toro (TTC) reported Depreciation and Depletion of $22 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 10.6% from $24.6 million a year earlier and down 14.4% from the prior quarter.
Toro (TTC) Depreciation and Depletion (2018 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Toro's Depreciation and Depletion came in at $110.5 million, up 9.6% year-over-year; for FY2025 (ended Oct 31, 2025), it was $112.2 million, up 19.7% from FY2024.
- Depreciation and Depletion has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- By fiscal year, Depreciation and Depletion came in at $93.7 million in FY2024 (+12.2%), $83.5 million in FY2023 (+11.5%), $74.9 million in FY2022 (-0.8%) and $75.5 million in FY2021 (-0.8%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Depreciation and Depletion since fiscal Q2 2024.
- Year over year, Depreciation and Depletion gained in six of the last eight quarters, with growth averaging 8.9%.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q4 2025 (growth of 40.4%); the low point was fiscal Q3 2026 (a decline of 10.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $25.7 million (Q2 2026), $23.2 million (Q1 2026) and $39.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | - |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | - |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Toro | 9.26 Bn | 8.38 Bn | 418.10 Mn | 22.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 22.00 Mn |
| May 1, 2026 | 25.70 Mn |
| Jan 30, 2026 | 23.20 Mn |
| Oct 31, 2025 | 39.60 Mn |
| Aug 1, 2025 | 24.60 Mn |
| May 2, 2025 | 23.80 Mn |
| Jan 31, 2025 | 24.20 Mn |
| Oct 31, 2024 | 28.20 Mn |
| Aug 2, 2024 | 22.10 Mn |
| May 3, 2024 | 21.40 Mn |
| Feb 2, 2024 | 22.00 Mn |
| Oct 31, 2023 | 26.90 Mn |
| Aug 4, 2023 | 18.30 Mn |
| May 5, 2023 | 19.10 Mn |
| Feb 3, 2023 | 19.20 Mn |
| Oct 31, 2022 | 20.63 Mn |
| Jul 29, 2022 | 16.95 Mn |
| Apr 29, 2022 | 18.83 Mn |
| Jan 28, 2022 | 18.49 Mn |
| Oct 31, 2021 | 20.20 Mn |
Toro Depreciation and Depletion 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=depreciation-and-depletion&ticker=TTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=TTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();