Darden Restaurants (DRI) Receivables (2009 - 2026)
Darden Restaurants' Receivables was $118 million in fiscal Q1 2027 (quarter ended Aug 30, 2026), up 25.4% from $94.1 million a year earlier but down 9.2% from the prior quarter.
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Analysis
Darden Restaurants (DRI) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Receivables at Darden Restaurants came in at $129.9 million, up 38.5% from FY2025.
- Receivables shows a five-year compound annual growth rate of 13.8% (FY2021 to FY2026).
- In earlier fiscal years, Receivables was $93.8 million in FY2025 (+18.6%), $79.1 million in FY2024 (-1.4%), $80.2 million in FY2023 (+11.4%) and $72 million in FY2022 (+5.6%).
- Quarterly Receivables has moved between $50.7 million (fiscal Q1 2023) and $129.9 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Receivables has increased for six straight quarters, with growth averaging 30.5% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was fiscal Q3 2026 (growth of 64.2%); the worst was fiscal Q1 2023 (a decline of 25.0%).
- Per Business Quant data, DRI's Receivables in the three fiscal quarters before Q1 2027 was $129.9 million (Q4 2026), $107.7 million (Q3 2026) and $126.1 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.30 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 623.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 100.31 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 118.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 74.14 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 1.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 118.00 Mn |
| May 31, 2026 | 129.90 Mn |
| Feb 22, 2026 | 107.70 Mn |
| Nov 23, 2025 | 126.10 Mn |
| Aug 24, 2025 | 94.10 Mn |
| May 25, 2025 | 93.80 Mn |
| Feb 23, 2025 | 65.60 Mn |
| Nov 24, 2024 | 77.80 Mn |
| Aug 25, 2024 | 63.80 Mn |
| May 26, 2024 | 79.10 Mn |
| Feb 25, 2024 | 72.20 Mn |
| Nov 26, 2023 | 80.30 Mn |
| Aug 27, 2023 | 59.20 Mn |
| May 28, 2023 | 80.20 Mn |
| Feb 26, 2023 | 57.60 Mn |
| Nov 27, 2022 | 71.60 Mn |
| Aug 28, 2022 | 50.70 Mn |
| May 29, 2022 | 72.00 Mn |
| Feb 27, 2022 | 52.60 Mn |
| Nov 28, 2021 | 69.10 Mn |
API Access
Darden Restaurants Receivables 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=receivables&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();