Darden Restaurants (DRI) Revenue (2009 - 2026)
Darden Restaurants (DRI) reported Revenue of $3.2 billion for fiscal Q1 2027 (quarter ended Aug 30, 2026), up 5.1% from $3.04 billion a year earlier but down 13.9% from the prior quarter.
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Analysis
Darden Restaurants (DRI) Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 30, 2026, Darden Restaurants' Revenue came in at $13.37 billion, up 8.1% year-over-year; for FY2026 (ended May 31, 2026), it was $13.21 billion, up 9.4% from FY2025.
- Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 12.9% (FY2021 to FY2026).
- By fiscal year, Revenue came in at $12.08 billion in FY2025 (+6.0%), $11.39 billion in FY2024 (+8.6%), $10.49 billion in FY2023 (+8.9%) and $9.63 billion in FY2022 (+33.8%).
- Five-year quarterly Revenue spans a low of $2.27 billion in fiscal Q2 2022 and a high of $3.72 billion in fiscal Q4 2026.
- Year over year, Revenue has now increased in each of the last 22 quarters, with growth averaging 8.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 1.0% (fiscal Q1 2025) to 41.3% (fiscal Q3 2022).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $3.72 billion (Q4 2026), $3.35 billion (Q3 2026) and $3.1 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - | 9.32 Bn |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn | 2.17 Bn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - | 3.29 Bn |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn | 2.53 Bn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 2.53 Bn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - | 1.68 Bn |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 3.20 Bn |
| May 31, 2026 | 3.72 Bn |
| Feb 22, 2026 | 3.35 Bn |
| Nov 23, 2025 | 3.10 Bn |
| Aug 24, 2025 | 3.04 Bn |
| May 25, 2025 | 3.27 Bn |
| Feb 23, 2025 | 3.16 Bn |
| Nov 24, 2024 | 2.89 Bn |
| Aug 25, 2024 | 2.76 Bn |
| May 26, 2024 | 2.96 Bn |
| Feb 25, 2024 | 2.97 Bn |
| Nov 26, 2023 | 2.73 Bn |
| Aug 27, 2023 | 2.73 Bn |
| May 28, 2023 | 2.77 Bn |
| Feb 26, 2023 | 2.79 Bn |
| Nov 27, 2022 | 2.49 Bn |
| Aug 28, 2022 | 2.45 Bn |
| May 29, 2022 | 2.60 Bn |
| Feb 27, 2022 | 2.45 Bn |
| Nov 28, 2021 | 2.27 Bn |
API Access
Darden Restaurants Revenue 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=revenue&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "DRI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();