Sysco (SYY) Accumulated Expenses (2009 - 2026)
Sysco (SYY) reported Accumulated Expenses of $2.46 billion for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 8.3% from $2.27 billion a year earlier and up 4.8% from the prior quarter.
Powered by 
Analysis
Sysco (SYY) Accumulated Expenses (2009 - 2026) Analysis & Trends
Dating back to fiscal Q3 2009, Sysco's Accumulated Expenses record includes 70 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 6.2% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $2.27 billion in FY2025 (+1.9%), $2.23 billion in FY2024 (-1.1%), $2.25 billion in FY2023 (-0.9%) and $2.27 billion in FY2022 (+25.1%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to fiscal Q3 2009.
- Year over year, Accumulated Expenses has now increased in each of the last five quarters, with growth averaging 2.1% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q4 2022 (growth of 25.1%); the low point was fiscal Q3 2025 (a decline of 4.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $2.34 billion (Q3 2026), $2.31 billion (Q2 2026) and $2.17 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn |
| 10 | Performance Food | 17.40 Bn | 17.18 Bn | 2.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 2.47 Bn |
| Jun 27, 2026 | 2.46 Bn |
| Mar 28, 2026 | 2.34 Bn |
| Dec 27, 2025 | 2.31 Bn |
| Sep 27, 2025 | 2.17 Bn |
| Jun 28, 2025 | 2.27 Bn |
| Mar 29, 2025 | 2.15 Bn |
| Dec 28, 2024 | 2.22 Bn |
| Sep 28, 2024 | 2.14 Bn |
| Jun 29, 2024 | 2.23 Bn |
| Mar 30, 2024 | 2.25 Bn |
| Dec 30, 2023 | 2.27 Bn |
| Sep 30, 2023 | 2.18 Bn |
| Jul 1, 2023 | 2.25 Bn |
| Apr 1, 2023 | 2.14 Bn |
| Dec 31, 2022 | 2.13 Bn |
| Oct 1, 2022 | 2.18 Bn |
| Jul 2, 2022 | 2.27 Bn |
| Apr 2, 2022 | 2.01 Bn |
| Jan 1, 2022 | 1.98 Bn |
API Access
Sysco Accumulated Expenses 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=accumulated-expenses&ticker=SYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();