Darden Restaurants (DRI) Change in Accured Expenses (2009 - 2026)
Darden Restaurants (DRI) reported Change in Accured Expenses of -$51.8 million for fiscal Q1 2027 (quarter ended Aug 30, 2026), compared with -$27.5 million a year earlier.
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Analysis
Darden Restaurants (DRI) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 30, 2026, Darden Restaurants' Change in Accured Expenses came in at $4.3 million, down 71.1% year-over-year; for FY2026 (ended May 31, 2026), it came in at $28.6 million, up 115.0% from FY2025.
- Change in Accured Expenses has a five-year compound annual growth rate of 0.9% (FY2021 to FY2026).
- By fiscal year, Change in Accured Expenses came in at $13.3 million in FY2025 (+72.7%), $7.7 million in FY2024, -$8.4 million in FY2023 and $4.1 million in FY2022 (-85.0%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Change in Accured Expenses since fiscal Q2 2011.
- Year over year, Change in Accured Expenses gained in three of the last five quarters, with growth averaging 241.0%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q4 2026 (growth of 638.6%); the low point was fiscal Q3 2025 (a decline of 83.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $32.5 million (Q4 2026), $15.3 million (Q3 2026) and $8.3 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | - |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 4.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 100.69 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | -8.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -8.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 107.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 15.18 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | -51.80 Mn |
| May 31, 2026 | 32.50 Mn |
| Feb 22, 2026 | 15.30 Mn |
| Nov 23, 2025 | 8.30 Mn |
| Aug 24, 2025 | -27.50 Mn |
| May 25, 2025 | 4.40 Mn |
| Feb 23, 2025 | 3.00 Mn |
| Nov 24, 2024 | 35.00 Mn |
| Aug 25, 2024 | -29.10 Mn |
| May 26, 2024 | -5.60 Mn |
| Feb 25, 2024 | 18.60 Mn |
| Nov 26, 2023 | 8.40 Mn |
| Aug 27, 2023 | -13.70 Mn |
| May 28, 2023 | 5.20 Mn |
| Feb 26, 2023 | 30.80 Mn |
| Nov 27, 2022 | -100,000.00 |
| Aug 28, 2022 | -44.30 Mn |
| May 29, 2022 | 4.90 Mn |
| Feb 27, 2022 | 15.90 Mn |
| Nov 28, 2021 | 6.40 Mn |
API Access
Darden Restaurants Change in Accured 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=change-in-accured-expenses&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();