Darden Restaurants (DRI) Tax Provisions (2009 - 2026)
Darden Restaurants (DRI) posted Tax Provisions of $34.7 million for fiscal Q1 2027 (quarter ended Aug 30, 2026), down 3.3% from $35.9 million a year earlier and down 40.0% from the prior quarter.
Darden Restaurants (DRI) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 30, 2026, Tax Provisions at Darden Restaurants was $173.7 million, up 17.7% year-over-year; for FY2026 (ended May 31, 2026), it came in at $174.9 million, up 28.4% from FY2025.
- In prior fiscal years, Darden Restaurants' Tax Provisions was $136.2 million in FY2025 (-6.1%), $145 million in FY2024 (+5.8%), $137 million in FY2023 (-1.3%) and $138.8 million in FY2022.
- The fiscal Q1 2027 figure stands as the lowest quarterly Tax Provisions since fiscal Q4 2025.
- On a year-over-year basis, Tax Provisions increased in five of the last eight quarters, with growth averaging 16.3%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q2 2022, with growth of 269.3%; the weakest was fiscal Q4 2025, with a decline of 35.0%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $57.8 million (Q4 2026), $46.2 million (Q3 2026) and $35 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 574.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 374.40 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | -320.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 129.73 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | -73.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 34.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -73.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 92.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 19.48 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 34.70 Mn |
| May 31, 2026 | 57.80 Mn |
| Feb 22, 2026 | 46.20 Mn |
| Nov 23, 2025 | 35.00 Mn |
| Aug 24, 2025 | 35.90 Mn |
| May 25, 2025 | 32.50 Mn |
| Feb 23, 2025 | 49.00 Mn |
| Nov 24, 2024 | 30.20 Mn |
| Aug 25, 2024 | 24.50 Mn |
| May 26, 2024 | 50.00 Mn |
| Feb 25, 2024 | 37.50 Mn |
| Nov 26, 2023 | 29.10 Mn |
| Aug 27, 2023 | 28.40 Mn |
| May 28, 2023 | 36.80 Mn |
| Feb 26, 2023 | 43.50 Mn |
| Nov 27, 2022 | 25.90 Mn |
| Aug 28, 2022 | 30.80 Mn |
| May 29, 2022 | 37.60 Mn |
| Feb 27, 2022 | 35.40 Mn |
| Nov 28, 2021 | 32.50 Mn |
Darden Restaurants Tax Provisions 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=tax-provisions&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();