Darden Restaurants (DRI) EBITDA (2009 - 2026)
Darden Restaurants (DRI) reported EBITDA of $463.5 million for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 2.3% from $474.3 million a year earlier and down 30.1% from the prior quarter.
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Analysis
Darden Restaurants (DRI) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 30, 2026, Darden Restaurants' EBITDA came in at $2.13 billion, up 8.7% year-over-year; for FY2026 (ended May 31, 2026), it came in at $2.14 billion, up 14.1% from FY2025.
- EBITDA has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 16.5% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $1.88 billion in FY2025 (+5.9%), $1.77 billion in FY2024 (+11.6%), $1.59 billion in FY2023 (+3.9%) and $1.53 billion in FY2022 (+53.1%).
- Five-year quarterly EBITDA spans a low of $330 million in fiscal Q2 2023 and a high of $663.1 million in fiscal Q4 2026.
- Year over year, EBITDA gained in six of the last eight quarters, with growth averaging 9.1%.
- The high point for year-over-year EBITDA in five years was fiscal Q3 2022 (growth of 67.3%); the low point was fiscal Q1 2023 (a decline of 8.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $663.1 million (Q4 2026), $548.2 million (Q3 2026) and $458.3 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 201.13 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 463.50 Mn |
| May 31, 2026 | 663.10 Mn |
| Feb 22, 2026 | 548.20 Mn |
| Nov 23, 2025 | 458.30 Mn |
| Aug 24, 2025 | 474.30 Mn |
| May 25, 2025 | 517.80 Mn |
| Feb 23, 2025 | 550.10 Mn |
| Nov 24, 2024 | 419.80 Mn |
| Aug 25, 2024 | 390.70 Mn |
| May 26, 2024 | 515.10 Mn |
| Feb 25, 2024 | 505.30 Mn |
| Nov 26, 2023 | 391.00 Mn |
| Aug 27, 2023 | 362.70 Mn |
| May 28, 2023 | 471.60 Mn |
| Feb 26, 2023 | 448.20 Mn |
| Nov 27, 2022 | 330.00 Mn |
| Aug 28, 2022 | 339.80 Mn |
| May 29, 2022 | 431.20 Mn |
| Feb 27, 2022 | 395.10 Mn |
| Nov 28, 2021 | 334.70 Mn |
API Access
Darden Restaurants EBITDA 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=ebitda&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();