Sysco (SYY) Depreciation & Amortization (CF) (2009 - 2026)
Sysco (SYY) reported Depreciation & Amortization (CF) of $262 million for fiscal Q1 2027 (quarter ended Sep 26, 2026), up 12.4% from $233 million a year earlier.
Sysco (SYY) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 26, 2026, Sysco's Depreciation & Amortization (CF) came in at $986 million, up 4.4% year-over-year; for FY2026 (ended Jun 27, 2026), it was $976 million, up 3.3% from FY2025.
- Depreciation & Amortization (CF) has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 5.8% (FY2021 to FY2026).
- By fiscal year, Depreciation & Amortization (CF) came in at $945 million in FY2025 (+8.2%), $873 million in FY2024 (+12.5%), $776 million in FY2023 (+0.4%) and $773 million in FY2022 (+4.8%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Depreciation & Amortization (CF) since fiscal Q2 2022.
- Year over year, Depreciation & Amortization (CF) gained in four of the last five quarters, with growth averaging 5.3%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was fiscal Q2 2022 (growth of 104.4%); the low point was fiscal Q2 2023 (a decline of 49.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 1,016.23 Bn | 978.93 Bn | 49.13 Bn | 3.93 Bn |
| 2 | Costco Wholesale | 490.35 Bn | 413.63 Bn | 12.19 Bn | 883.00 Mn |
| 3 | Kroger | 41.83 Bn | 27.99 Bn | 7.86 Bn | 737.00 Mn |
| 4 | Sysco | 37.95 Bn | 29.87 Bn | 4.05 Bn | 262.00 Mn |
| 5 | Dollar General | 29.60 Bn | 24.27 Bn | 3.68 Bn | 277.50 Mn |
| 6 | Caseys General Stores | 26.32 Bn | 24.31 Bn | 1.24 Bn | 115.99 Mn |
| 7 | Dollar Tree | 25.91 Bn | 22.54 Bn | 2.10 Bn | 179.80 Mn |
| 8 | US Foods Holding | 23.28 Bn | 23.08 Bn | 1.90 Bn | 123.00 Mn |
| 9 | Tractor Supply | 18.93 Bn | 18.08 Bn | 1.42 Bn | 132.93 Mn |
| 10 | Performance Food | 17.44 Bn | 17.22 Bn | 2.19 Bn | 149.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 262.00 Mn |
| Mar 28, 2026 | 251.00 Mn |
| Dec 27, 2025 | 240.00 Mn |
| Sep 27, 2025 | 233.00 Mn |
| Mar 29, 2025 | 238.00 Mn |
| Dec 28, 2024 | 238.00 Mn |
| Sep 28, 2024 | 235.00 Mn |
| Jun 29, 2024 | 226.00 Mn |
| Mar 30, 2024 | 222.00 Mn |
| Dec 30, 2023 | 219.00 Mn |
| Sep 30, 2023 | 206.00 Mn |
| Jul 1, 2023 | 201.06 Mn |
| Apr 1, 2023 | 196.00 Mn |
| Dec 31, 2022 | 190.03 Mn |
| Oct 1, 2022 | 188.92 Mn |
| Jul 2, 2022 | 201.39 Mn |
| Apr 2, 2022 | 193.84 Mn |
| Jan 1, 2022 | 377.76 Mn |
| Oct 2, 2021 | 186.47 Mn |
| Jul 3, 2021 | 195.45 Mn |
Sysco Depreciation & Amortization (CF) 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-amortization-cf&ticker=SYY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "SYY", "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-amortization-cf&ticker=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();