Darden Restaurants (DRI) Inventory (2009 - 2026)
Darden Restaurants (DRI) reported Inventory of $321 million for fiscal Q1 2027 (quarter ended Aug 30, 2026), up 3.7% from $309.6 million a year earlier but down 1.6% from the prior quarter.
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Analysis
Darden Restaurants (DRI) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Darden Restaurants posted Inventory of $326.3 million, up 4.7% from FY2025.
- Inventory has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 11.3% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $311.6 million in FY2025 (+7.3%), $290.5 million in FY2024 (+0.9%), $287.9 million in FY2023 (+6.4%) and $270.6 million in FY2022 (+41.8%).
- Five-year quarterly Inventory spans a low of $230.2 million in fiscal Q2 2022 and a high of $354.5 million in fiscal Q2 2026.
- Year over year, Inventory has now increased in each of the last ten quarters, with growth averaging 6.1% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q4 2022 (growth of 41.8%); the low point was fiscal Q3 2024 (a decline of 2.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $326.3 million (Q4 2026), $345.3 million (Q3 2026) and $354.5 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 2.21 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 48.87 Mn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 237.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 321.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 237.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 49.69 Mn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 89.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 321.00 Mn |
| May 31, 2026 | 326.30 Mn |
| Feb 22, 2026 | 345.30 Mn |
| Nov 23, 2025 | 354.50 Mn |
| Aug 24, 2025 | 309.60 Mn |
| May 25, 2025 | 311.60 Mn |
| Feb 23, 2025 | 324.60 Mn |
| Nov 24, 2024 | 318.00 Mn |
| Aug 25, 2024 | 297.70 Mn |
| May 26, 2024 | 290.50 Mn |
| Feb 25, 2024 | 298.20 Mn |
| Nov 26, 2023 | 310.60 Mn |
| Aug 27, 2023 | 287.00 Mn |
| May 28, 2023 | 287.90 Mn |
| Feb 26, 2023 | 305.90 Mn |
| Nov 27, 2022 | 296.10 Mn |
| Aug 28, 2022 | 273.10 Mn |
| May 29, 2022 | 270.60 Mn |
| Feb 27, 2022 | 243.70 Mn |
| Nov 28, 2021 | 230.20 Mn |
API Access
Darden Restaurants 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=inventory&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();