Darden Restaurants (DRI) Accumulated Expenses (2009 - 2026)
Darden Restaurants (DRI) posted Accumulated Expenses of $236.1 million for Q2 2026, up 16.02% on a QoQ basis from $203.5 million in Q1 2026, and up 13.78% year-over-year from $207.5 million in Q2 2025.
Darden Restaurants (DRI) Accumulated Expenses (2009 - 2026) Analysis & Trends
Darden Restaurants has reported Accumulated Expenses for 18 years, with the latest figure at $236.1 million in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 13.78% year-over-year to $236.1 million in Q2 2026; TTM through May 2026 was $236.1 million, a 13.78% increase from a year earlier, with the FY2026 full-year figure at $236.1 million, up 13.78% from the prior year.
- Accumulated Expenses was $236.1 million for Q2 2026 at Darden Restaurants, up from $203.5 million in the prior quarter.
- The five-year high for Accumulated Expenses was $236.1 million in Q2 2026, with the low at $137.1 million in Q4 2022.
- Average Accumulated Expenses over 5 years is $182.1 million, with a median of $180.8 million recorded in 2022.
- The sharpest annual moves came in 2022 and 2023: Accumulated Expenses decreased 14.69% in 2022, then increased 29.18% in 2023.
- Over 5 years, Accumulated Expenses stood at $137.1 million in 2022, then advanced by 29.18% to $177.1 million in 2023, then advanced by 8.81% to $192.7 million in 2024, then slipped by 2.28% to $188.3 million in 2025, then rose by 25.39% to $236.1 million in 2026.
- The last three Accumulated Expenses figures came in at $236.1 million (Q2 2026), $203.5 million (Q1 2026), and $188.3 million (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 | 236.10 Mn |
| Feb 22, 2026 | 203.50 Mn |
| Nov 23, 2025 | 188.30 Mn |
| Aug 24, 2025 | 180.00 Mn |
| May 25, 2025 | 207.50 Mn |
| Feb 23, 2025 | 203.10 Mn |
| Nov 24, 2024 | 192.70 Mn |
| Aug 25, 2024 | 161.00 Mn |
| May 26, 2024 | 190.10 Mn |
| Feb 25, 2024 | 195.60 Mn |
| Nov 26, 2023 | 177.10 Mn |
| Aug 27, 2023 | 168.60 Mn |
| May 28, 2023 | 173.00 Mn |
| Feb 26, 2023 | 167.90 Mn |
| Nov 27, 2022 | 137.10 Mn |
| Aug 28, 2022 | 137.20 Mn |
| May 29, 2022 | 181.50 Mn |
| Feb 27, 2022 | 177.50 Mn |
| Nov 28, 2021 | 160.70 Mn |
| Aug 29, 2021 | 154.30 Mn |
Darden Restaurants Accumulated 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=accumulated-expenses&ticker=DRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();