Ralph Lauren (RL) Tax Provisions (2009 - 2026)
Ralph Lauren's Tax Provisions came in at $80 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 38.9% from $57.6 million a year earlier and up 92.8% from the prior quarter.
Ralph Lauren (RL) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Ralph Lauren reported Tax Provisions of $259 million, up 19.1% year-over-year; for FY2026 (ended Mar 28, 2026), it was $236.6 million, up 13.9% from FY2025.
- Tax Provisions carries a five-year compound annual growth rate of 38.6% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $207.8 million in FY2025 (+58.5%), $131.1 million in FY2024 (-22.5%), $169.2 million in FY2023 (+9.5%) and $154.5 million in FY2022 (+233.7%).
- The five-year range for quarterly Tax Provisions is $4.9 million (fiscal Q4 2022) to $102.2 million (fiscal Q3 2026).
- Year-over-year, Tax Provisions has increased for three consecutive quarters, with growth averaging 41.0% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q2 2022 (growth of 348.0%), and the weakest in fiscal Q4 2022 (a decline of 87.4%).
- Business Quant data shows RL's Tax Provisions at $41.5 million (Q4 2026), $102.2 million (Q3 2026) and $35.3 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 260.00 Mn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 81.00 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 80.00 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 138.13 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 27.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 16.21 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | -58.65 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 59.04 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | -9.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 80.00 Mn |
| Mar 28, 2026 | 41.50 Mn |
| Dec 27, 2025 | 102.20 Mn |
| Sep 27, 2025 | 35.30 Mn |
| Jun 28, 2025 | 57.60 Mn |
| Mar 29, 2025 | 33.30 Mn |
| Dec 28, 2024 | 86.30 Mn |
| Sep 28, 2024 | 40.20 Mn |
| Jun 29, 2024 | 48.00 Mn |
| Mar 30, 2024 | 20.80 Mn |
| Dec 30, 2023 | 53.20 Mn |
| Sep 30, 2023 | 18.60 Mn |
| Jul 1, 2023 | 38.50 Mn |
| Apr 1, 2023 | 16.90 Mn |
| Dec 31, 2022 | 63.90 Mn |
| Oct 1, 2022 | 49.60 Mn |
| Jul 2, 2022 | 38.80 Mn |
| Apr 2, 2022 | 4.90 Mn |
| Dec 25, 2021 | 59.50 Mn |
| Sep 25, 2021 | 44.80 Mn |
Ralph Lauren 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=RL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "RL", "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=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();