Symbotic (SYM) Depreciation and Depletion (2021 - 2026)
Symbotic (SYM) recorded Depreciation and Depletion of $6.3 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 11.3% from $7.1 million a year earlier and down 14.9% from the prior quarter.
Symbotic (SYM) Depreciation and Depletion (2021 - 2026) Analysis & Trends
On a TTM basis, Symbotic's Depreciation and Depletion came in at $23.5 million as of Jun 27, 2026, down 0.8% year-over-year; for FY2025 (ended Sep 27, 2025), it was $25.2 million, up 93.8% from FY2024.
- Annual Depreciation and Depletion has increased for four straight fiscal years, with a five-year compound annual growth rate of 36.6% (FY2020 to FY2025).
- Across earlier fiscal years, Depreciation and Depletion came in at $13 million in FY2024 (+44.4%), $9 million in FY2023 (+63.6%), $5.5 million in FY2022 (+37.5%) and $4 million in FY2021 (-24.5%).
- Quarterly Depreciation and Depletion has ranged from $1.5 million in fiscal Q4 2023 to $7.4 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Depreciation and Depletion rose in five of the last seven quarters, with growth averaging 59.3%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 180.0% in fiscal Q2 2025, against a decline of 21.0% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $7.4 million (Q2 2026), $4.9 million (Q1 2026) and $4.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | - |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | - |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Symbotic | 25.40 Bn | 19.01 Bn | 160.91 Mn | 6.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 6.30 Mn |
| Mar 28, 2026 | 7.40 Mn |
| Dec 27, 2025 | 4.90 Mn |
| Sep 27, 2025 | 4.90 Mn |
| Jun 28, 2025 | 7.10 Mn |
| Mar 29, 2025 | 7.00 Mn |
| Dec 28, 2024 | 6.20 Mn |
| Sep 28, 2024 | 3.40 Mn |
| Jun 29, 2024 | 4.80 Mn |
| Mar 30, 2024 | 2.50 Mn |
| Dec 30, 2023 | 2.30 Mn |
| Jun 24, 2023 | 1.50 Mn |
| Mar 25, 2023 | 1.60 Mn |
| Dec 24, 2022 | 1.60 Mn |
| Sep 24, 2022 | 5.50 Mn |
| Jun 25, 2022 | 1.30 Mn |
| Mar 26, 2022 | 1.30 Mn |
| Dec 25, 2021 | 1.20 Mn |
| Sep 25, 2021 | 4.00 Mn |
| Jun 26, 2021 | 1.30 Mn |
Symbotic 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=SYM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "SYM", "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=SYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();