Sysco (SYY) Retained Earnings (2009 - 2026)
Sysco (SYY) reported Retained Earnings of $13.75 billion for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 5.3% from $13.06 billion a year earlier and up 2.1% from the prior quarter.
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Analysis
Sysco (SYY) Retained Earnings (2009 - 2026) Analysis & Trends
Dating back to fiscal Q3 2009, Sysco's Retained Earnings record includes 70 quarters.
- Retained Earnings has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 6.3% (FY2021 to FY2026).
- By fiscal year, Retained Earnings came in at $13.06 billion in FY2025 (+6.5%), $12.26 billion in FY2024 (+8.4%), $11.31 billion in FY2023 (+7.3%) and $10.54 billion in FY2022 (+3.8%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Retained Earnings in data going back to fiscal Q3 2009.
- Year over year, Retained Earnings has now increased in each of the last 18 quarters, with growth averaging 6.6% over the last eight quarters.
- The high point for year-over-year Retained Earnings in five years was fiscal Q2 2024 (growth of 10.1%); the low point was fiscal Q1 2022 (a decline of 2.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $13.46 billion (Q3 2026), $13.38 billion (Q2 2026) and $13.26 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 103.60 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 26.48 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 13.75 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 29.95 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 5.13 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 4.09 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 3.48 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 3.07 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 7.79 Bn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 2.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 13.75 Bn |
| Mar 28, 2026 | 13.46 Bn |
| Dec 27, 2025 | 13.38 Bn |
| Sep 27, 2025 | 13.26 Bn |
| Jun 28, 2025 | 13.06 Bn |
| Mar 29, 2025 | 12.79 Bn |
| Dec 28, 2024 | 12.65 Bn |
| Sep 28, 2024 | 12.50 Bn |
| Jun 29, 2024 | 12.26 Bn |
| Mar 30, 2024 | 11.90 Bn |
| Dec 30, 2023 | 11.72 Bn |
| Sep 30, 2023 | 11.56 Bn |
| Jul 1, 2023 | 11.31 Bn |
| Apr 1, 2023 | 10.83 Bn |
| Dec 31, 2022 | 10.65 Bn |
| Oct 1, 2022 | 10.76 Bn |
| Jul 2, 2022 | 10.54 Bn |
| Apr 2, 2022 | 10.28 Bn |
| Jan 2, 2022 | 10.22 Bn |
| Oct 2, 2021 | 10.29 Bn |
API Access
Sysco Retained Earnings 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=retained-earnings&ticker=SYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();