Darden Restaurants (DRI) Operating Expenses (2009 - 2026)
Darden Restaurants (DRI) reported Operating Expenses of $2.88 billion for fiscal Q1 2027 (quarter ended Aug 30, 2026), up 6.5% from $2.71 billion a year earlier but down 10.0% from the prior quarter.
Darden Restaurants (DRI) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 30, 2026, Darden Restaurants' Operating Expenses came in at $11.8 billion, up 8.0% year-over-year; for FY2026 (ended May 31, 2026), it came in at $11.63 billion, up 8.5% from FY2025.
- Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 12.2% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $10.71 billion in FY2025 (+6.3%), $10.08 billion in FY2024 (+8.5%), $9.29 billion in FY2023 (+9.7%) and $8.47 billion in FY2022 (+29.3%).
- Five-year quarterly Operating Expenses spans a low of $2.03 billion in fiscal Q2 2022 and a high of $3.2 billion in fiscal Q4 2026.
- Year over year, Operating Expenses has now increased in each of the last 22 quarters, with growth averaging 8.1% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 0.4% (fiscal Q1 2025) and 35.5% (fiscal Q3 2022) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $3.2 billion (Q4 2026), $2.94 billion (Q3 2026) and $2.78 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 2.82 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.54 Bn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 2.88 Bn |
| May 31, 2026 | 3.20 Bn |
| Feb 22, 2026 | 2.94 Bn |
| Nov 23, 2025 | 2.78 Bn |
| Aug 24, 2025 | 2.71 Bn |
| May 25, 2025 | 2.89 Bn |
| Feb 23, 2025 | 2.74 Bn |
| Nov 24, 2024 | 2.60 Bn |
| Aug 25, 2024 | 2.49 Bn |
| May 26, 2024 | 2.56 Bn |
| Feb 25, 2024 | 2.59 Bn |
| Nov 26, 2023 | 2.45 Bn |
| Aug 27, 2023 | 2.48 Bn |
| May 28, 2023 | 2.39 Bn |
| Feb 26, 2023 | 2.44 Bn |
| Nov 27, 2022 | 2.25 Bn |
| Aug 28, 2022 | 2.20 Bn |
| May 29, 2022 | 2.26 Bn |
| Feb 27, 2022 | 2.15 Bn |
| Nov 28, 2021 | 2.03 Bn |
Darden Restaurants Operating 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=operating-expenses&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();