Darden Restaurants (DRI) Change in Inventory (2009 - 2026)
Darden Restaurants (DRI) posted Change in Inventory of -$5.3 million for fiscal Q1 2027 (quarter ended Aug 30, 2026), compared with -$2 million a year earlier.
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Analysis
Darden Restaurants (DRI) Change in Inventory (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 30, 2026, Change in Inventory at Darden Restaurants was $11.4 million, up 5.6% year-over-year; for FY2026 (ended May 31, 2026), it was $14.7 million, down 28.3% from FY2025.
- In prior fiscal years, Darden Restaurants' Change in Inventory was $20.5 million in FY2025, -$5.6 million in FY2024, $17.3 million in FY2023 (-78.3%) and $79.8 million in FY2022.
- Quarterly Change in Inventory has run from a low of -$19 million in fiscal Q4 2026 to a high of $44.9 million in fiscal Q2 2026 over five years.
- The strongest year-over-year quarter for Change in Inventory in the past five years was fiscal Q4 2022, with growth of 934.6%; the weakest was fiscal Q1 2023, with a decline of 87.5%.
- According to Business Quant data, Change in Inventory for the three prior fiscal quarters was -$19 million (Q4 2026), -$9.2 million (Q3 2026) and $44.9 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | - |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 54.40 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 1.97 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | -5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 38.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 3.64 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | -5.30 Mn |
| May 31, 2026 | -19.00 Mn |
| Feb 22, 2026 | -9.20 Mn |
| Nov 23, 2025 | 44.90 Mn |
| Aug 24, 2025 | -2.00 Mn |
| May 25, 2025 | -11.60 Mn |
| Feb 23, 2025 | 6.50 Mn |
| Nov 24, 2024 | 17.90 Mn |
| Aug 25, 2024 | 7.70 Mn |
| May 26, 2024 | -7.40 Mn |
| Feb 25, 2024 | -12.50 Mn |
| Nov 26, 2023 | 23.70 Mn |
| Aug 27, 2023 | -9.40 Mn |
| May 28, 2023 | -17.90 Mn |
| Feb 26, 2023 | 9.80 Mn |
| Nov 27, 2022 | 22.90 Mn |
| Aug 28, 2022 | 2.50 Mn |
| May 29, 2022 | 26.90 Mn |
| Feb 27, 2022 | 13.50 Mn |
| Nov 28, 2021 | 19.40 Mn |
API Access
Darden Restaurants Change in Inventory 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-inventory&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();