Darden Restaurants (DRI) EBT (2009 - 2026)
Darden Restaurants (DRI) posted EBT of $269 million for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 8.4% from $293.8 million a year earlier and down 42.2% from the prior quarter.
Darden Restaurants (DRI) EBT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 30, 2026, EBT at Darden Restaurants was $1.36 billion, up 9.2% year-over-year; for FY2026 (ended May 31, 2026), it came in at $1.39 billion, up 17.0% from FY2025.
- Annual EBT has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 19.2% (FY2021 to FY2026).
- In prior fiscal years, Darden Restaurants' EBT was $1.19 billion in FY2025 (+1.0%), $1.18 billion in FY2024 (+4.9%), $1.12 billion in FY2023 (+2.5%) and $1.09 billion in FY2022 (+89.7%).
- The fiscal Q1 2027 figure stands as the lowest quarterly EBT since fiscal Q2 2025.
- On a year-over-year basis, EBT increased in five of the last eight quarters, with growth averaging 8.1%.
- The strongest year-over-year quarter for EBT in the past five years was fiscal Q3 2022, with growth of 114.1%; the weakest was fiscal Q1 2023, with a decline of 15.3%.
- According to Business Quant data, EBT for the three prior fiscal quarters was $465.6 million (Q4 2026), $356.8 million (Q3 2026) and $272.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 2.94 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.42 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 533.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 533.27 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 592.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 269.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 592.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 354.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 143.99 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 269.00 Mn |
| May 31, 2026 | 465.60 Mn |
| Feb 22, 2026 | 356.80 Mn |
| Nov 23, 2025 | 272.40 Mn |
| Aug 24, 2025 | 293.80 Mn |
| May 25, 2025 | 336.50 Mn |
| Feb 23, 2025 | 372.70 Mn |
| Nov 24, 2024 | 245.90 Mn |
| Aug 25, 2024 | 232.10 Mn |
| May 26, 2024 | 360.00 Mn |
| Feb 25, 2024 | 350.90 Mn |
| Nov 26, 2023 | 241.40 Mn |
| Aug 27, 2023 | 223.20 Mn |
| May 28, 2023 | 352.40 Mn |
| Feb 26, 2023 | 330.30 Mn |
| Nov 27, 2022 | 213.40 Mn |
| Aug 28, 2022 | 224.40 Mn |
| May 29, 2022 | 319.30 Mn |
| Feb 27, 2022 | 283.30 Mn |
| Nov 28, 2021 | 225.90 Mn |
Darden Restaurants EBT 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=ebt&ticker=DRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();