Sysco (SYY) Tax Provisions (2009 - 2026)
Sysco (SYY) reported Tax Provisions of $169 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), down 8.6% from $185 million a year earlier but up 61.0% from the prior quarter.
Sysco (SYY) Tax Provisions (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Sysco posted Tax Provisions of $519 million, down 11.6% from FY2025.
- Tax Provisions has a five-year compound annual growth rate of 53.7% (FY2021 to FY2026).
- By fiscal year, Tax Provisions came in at $587 million in FY2025 (-3.8%), $610 million in FY2024 (+18.4%), $515 million in FY2023 (+32.7%) and $388 million in FY2022 (+541.1%).
- Five-year quarterly Tax Provisions spans a low of $37.26 million in fiscal Q2 2023 and a high of $224.2 million in fiscal Q4 2023.
- Year over year, Tax Provisions has now declined in each of the last nine quarters, with an average decline of 7.8% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was fiscal Q3 2022 (growth of 490.0%); the low point was fiscal Q1 2026 (a decline of 18.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $105 million (Q3 2026), $121 million (Q2 2026) and $124 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 1.48 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 746.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 169.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 175.97 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 73.31 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 171.90 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 94.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 89.30 Mn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 59.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 169.00 Mn |
| Mar 28, 2026 | 105.00 Mn |
| Dec 27, 2025 | 121.00 Mn |
| Sep 27, 2025 | 124.00 Mn |
| Jun 28, 2025 | 185.00 Mn |
| Mar 29, 2025 | 122.00 Mn |
| Dec 28, 2024 | 127.00 Mn |
| Sep 28, 2024 | 152.00 Mn |
| Jun 29, 2024 | 192.00 Mn |
| Mar 30, 2024 | 129.00 Mn |
| Dec 30, 2023 | 130.00 Mn |
| Sep 30, 2023 | 160.00 Mn |
| Jul 1, 2023 | 224.20 Mn |
| Apr 1, 2023 | 124.43 Mn |
| Dec 31, 2022 | 37.26 Mn |
| Oct 1, 2022 | 129.33 Mn |
| Jul 2, 2022 | 131.89 Mn |
| Apr 2, 2022 | 82.16 Mn |
| Jan 2, 2022 | 45.25 Mn |
| Oct 2, 2021 | 128.71 Mn |
Sysco Tax Provisions 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=tax-provisions&ticker=SYY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();