Lululemon Athletica (LULU) Tax Provisions (2009 - 2026)
Lululemon Athletica's Tax Provisions came in at $138.13 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 15.1% from $162.65 million a year earlier but up 51.7% from the prior quarter.
Lululemon Athletica (LULU) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Lululemon Athletica reported Tax Provisions of $590.46 million, down 22.3% year-over-year; for FY2026 (ended Feb 1, 2026), it was $659.78 million, down 13.4% from FY2025.
- Tax Provisions carries a five-year compound annual growth rate of 23.4% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $761.46 million in FY2025 (+21.7%), $625.55 million in FY2024 (+30.9%), $477.77 million in FY2023 (+33.3%) and $358.55 million in FY2022 (+55.6%).
- The five-year range for quarterly Tax Provisions is $70.17 million (fiscal Q3 2022) to $309.13 million (fiscal Q4 2025).
- Year-over-year, Tax Provisions has declined for five consecutive quarters, with an average decline of 1.9% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q1 2024 (growth of 69.3%), and the weakest in fiscal Q1 2027 (a decline of 33.0%).
- Business Quant data shows LULU's Tax Provisions at $91.03 million (Q1 2027), $226.39 million (Q4 2026) and $134.91 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.59 Bn | 22.79 Bn | 4.80 Bn | 209.00 Mn |
| 2 | Tapestry | 23.22 Bn | 19.18 Bn | 1.56 Bn | 81.00 Mn |
| 3 | Ralph Lauren | 22.91 Bn | 15.01 Bn | 1.44 Bn | 80.00 Mn |
| 4 | Deckers Outdoor | 12.28 Bn | 5.16 Bn | - | - |
| 5 | Lululemon Athletica | 11.66 Bn | 5.91 Bn | 1.46 Bn | 138.13 Mn |
| 6 | Levi Strauss | 8.28 Bn | 4.86 Bn | 1.07 Bn | 51.50 Mn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -9.74 Mn |
| 8 | Gildan Activewear | 6.60 Bn | 5.52 Bn | 459.76 Mn | 16.21 Mn |
| 9 | Birkenstock Holding | 6.28 Bn | 4.60 Bn | 493.89 Mn | 58.65 Mn |
| 10 | Crocs | 5.92 Bn | 5.34 Bn | 700.71 Mn | 59.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 138.13 Mn |
| May 3, 2026 | 91.03 Mn |
| Feb 1, 2026 | 226.39 Mn |
| Nov 2, 2025 | 134.91 Mn |
| Aug 3, 2025 | 162.65 Mn |
| May 4, 2025 | 135.84 Mn |
| Feb 2, 2025 | 309.13 Mn |
| Oct 27, 2024 | 152.53 Mn |
| Jul 28, 2024 | 165.30 Mn |
| Apr 28, 2024 | 134.50 Mn |
| Jan 28, 2024 | 262.25 Mn |
| Oct 29, 2023 | 99.24 Mn |
| Jul 30, 2023 | 145.02 Mn |
| Apr 30, 2023 | 119.03 Mn |
| Jan 29, 2023 | 198.32 Mn |
| Oct 30, 2022 | 97.29 Mn |
| Jul 31, 2022 | 111.83 Mn |
| May 1, 2022 | 70.33 Mn |
| Jan 30, 2022 | 156.23 Mn |
| Oct 31, 2021 | 70.17 Mn |
Lululemon Athletica 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=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "LULU", "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=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();