Scotts Miracle-Gro (SMG) Depreciation and Depletion (2010 - 2026)
Scotts Miracle-Gro (SMG) reported Depreciation and Depletion of $15.9 million for fiscal Q4 2026 (quarter ended Sep 30, 2026), up 1.9% from $15.6 million a year earlier but down 0.6% from the prior quarter.
Scotts Miracle-Gro (SMG) Depreciation and Depletion (2010 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), Scotts Miracle-Gro posted Depreciation and Depletion of $62.9 million, up 0.3% from FY2025.
- Depreciation and Depletion has a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- By fiscal year, Depreciation and Depletion came in at $62.7 million in FY2025 (-3.4%), $64.9 million in FY2024 (-3.6%), $67.3 million in FY2023 (-1.2%) and $68.1 million in FY2022 (+8.3%).
- Five-year quarterly Depreciation and Depletion spans a low of $15.4 million in fiscal Q2 2026 and a high of $17.9 million in fiscal Q3 2022.
- Year over year, Depreciation and Depletion gained in two of the last eight quarters, with an average decline of 1.5%.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q3 2022 (growth of 14.0%); the low point was fiscal Q3 2023 (a decline of 10.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $16 million (Q3 2026), $15.4 million (Q2 2026) and $15.6 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 238.00 Mn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 273.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | - |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | - |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | - |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | - |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 114.70 Mn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | - |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | 15.90 Mn |
| 10 | Seaboard | 3.59 Bn | -1.46 Bn | 132.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.90 Mn |
| Jun 27, 2026 | 16.00 Mn |
| Mar 28, 2026 | 15.40 Mn |
| Dec 27, 2025 | 15.60 Mn |
| Sep 30, 2025 | 15.60 Mn |
| Jun 28, 2025 | 15.50 Mn |
| Mar 29, 2025 | 15.80 Mn |
| Dec 28, 2024 | 15.80 Mn |
| Sep 30, 2024 | 16.10 Mn |
| Jun 29, 2024 | 16.50 Mn |
| Mar 30, 2024 | 16.20 Mn |
| Dec 30, 2023 | 16.10 Mn |
| Sep 30, 2023 | 17.70 Mn |
| Jul 1, 2023 | 16.00 Mn |
| Apr 1, 2023 | 16.10 Mn |
| Dec 31, 2022 | 17.50 Mn |
| Sep 30, 2022 | 17.80 Mn |
| Jul 2, 2022 | 17.90 Mn |
| Apr 2, 2022 | 16.40 Mn |
| Jan 1, 2022 | 16.00 Mn |
Scotts Miracle-Gro 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=SMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "SMG", "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=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();