Darden Restaurants (DRI) EBIT (2009 - 2026)
Darden Restaurants' EBIT came in at $319.3 million for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 5.9% from $339.2 million a year earlier and down 38.2% from the prior quarter.
Darden Restaurants (DRI) EBIT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 30, 2026, Darden Restaurants reported EBIT of $1.56 billion, up 9.1% year-over-year; for FY2026 (ended May 31, 2026), it was $1.58 billion, up 16.2% from FY2025.
- EBIT has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 19.5% (FY2021 to FY2026).
- Going back by fiscal year, EBIT was $1.36 billion in FY2025 (+3.7%), $1.31 billion in FY2024 (+9.4%), $1.2 billion in FY2023 (+3.4%) and $1.16 billion in FY2022 (+79.2%).
- The fiscal Q1 2027 figure represents the lowest quarterly EBIT since fiscal Q2 2025.
- Year-over-year, EBIT increased in five of the last eight quarters, with growth averaging 9.0%.
- The fastest year-over-year change in EBIT over five years came in fiscal Q3 2022 (growth of 103.2%), and the weakest in fiscal Q1 2023 (a decline of 13.0%).
- Business Quant data shows DRI's EBIT at $516.8 million (Q4 2026), $406.4 million (Q3 2026) and $320.4 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 980.40 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 655.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 525.60 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 716.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 319.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 716.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 142.79 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 319.30 Mn |
| May 31, 2026 | 516.80 Mn |
| Feb 22, 2026 | 406.40 Mn |
| Nov 23, 2025 | 320.40 Mn |
| Aug 24, 2025 | 339.20 Mn |
| May 25, 2025 | 382.80 Mn |
| Feb 23, 2025 | 418.20 Mn |
| Nov 24, 2024 | 292.10 Mn |
| Aug 25, 2024 | 269.20 Mn |
| May 26, 2024 | 395.40 Mn |
| Feb 25, 2024 | 387.40 Mn |
| Nov 26, 2023 | 278.50 Mn |
| Aug 27, 2023 | 252.90 Mn |
| May 28, 2023 | 374.50 Mn |
| Feb 26, 2023 | 349.90 Mn |
| Nov 27, 2022 | 233.20 Mn |
| Aug 28, 2022 | 244.20 Mn |
| May 29, 2022 | 338.20 Mn |
| Feb 27, 2022 | 300.80 Mn |
| Nov 28, 2021 | 242.60 Mn |
Darden Restaurants EBIT 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=ebit&ticker=DRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();