Darden Restaurants (DRI) EV to EBITDA (2009 - 2026)
Darden Restaurants (DRI) posted EV to EBITDA of 44.59 for Q2 2026, down 26.46% on a QoQ basis from 60.64 in Q1 2026, and down 27.76% year-over-year from 61.73 in Q2 2025.
Darden Restaurants (DRI) EV to EBITDA (2009 - 2026) Analysis & Trends
Darden Restaurants has reported EV to EBITDA for 18 years, with the latest figure at 44.59 in Q2 2026.
- On a quarterly basis, EV to EBITDA fell 27.76% year-over-year to 44.59 in Q2 2026; TTM through May 2026 was 14.56, a 16.06% decrease from a year earlier, with the FY2026 full-year figure at 14.56, down 16.06% from the prior year.
- EV to EBITDA was 44.59 for Q2 2026 at Darden Restaurants, down from 60.64 in the prior quarter.
- The five-year high for EV to EBITDA was 76.41 in Q4 2022, with the low at 43.89 in Q2 2024.
- Average EV to EBITDA over 5 years is 59.01, with a median of 60.86 recorded in 2022.
- The sharpest annual moves came in 2022 and 2025: EV to EBITDA plunged 49.16% in 2022, then soared 40.64% in 2025.
- Over 5 years, EV to EBITDA stood at 76.41 in 2022, then fell by 13.38% to 66.19 in 2023, then gained by 0.48% to 66.51 in 2024, then decreased by 6.65% to 62.09 in 2025, then slipped by 28.17% to 44.59 in 2026.
- The last three EV to EBITDA figures came in at 44.59 (Q2 2026), 60.64 (Q1 2026), and 62.09 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 44.59 |
| Feb 22, 2026 | 60.64 |
| Nov 23, 2025 | 62.09 |
| Aug 24, 2025 | 70.90 |
| May 25, 2025 | 61.73 |
| Feb 23, 2025 | 52.97 |
| Nov 24, 2024 | 66.51 |
| Aug 25, 2024 | 66.53 |
| May 26, 2024 | 43.89 |
| Feb 25, 2024 | 51.60 |
| Nov 26, 2023 | 66.19 |
| Aug 27, 2023 | 73.45 |
| May 28, 2023 | 51.17 |
| Feb 26, 2023 | 49.16 |
| Nov 27, 2022 | 76.41 |
| Aug 28, 2022 | 61.09 |
| May 29, 2022 | 44.93 |
| Feb 27, 2022 | 58.32 |
| Nov 28, 2021 | 70.92 |
| Aug 29, 2021 | 67.43 |
Darden Restaurants EV to 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=ev-to-ebitda&ticker=DRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();