Lululemon Athletica (LULU) Cost of Revenue (2009 - 2026)
Lululemon Athletica's Cost of Revenue came in at $953.75 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 9.0% from $1.05 billion a year earlier and down 15.8% from the prior quarter.
Lululemon Athletica (LULU) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 2, 2026, Lululemon Athletica reported Cost of Revenue of $4.87 billion, up 9.2% year-over-year; for FY2026 (ended Feb 1, 2026), it was $4.82 billion, up 11.6% from FY2025.
- Cost of Revenue has increased in each of the last 17 fiscal years, with a five-year compound annual growth rate of 20.0% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $4.32 billion in FY2025 (+7.7%), $4.01 billion in FY2024 (+10.8%), $3.62 billion in FY2023 (+36.6%) and $2.65 billion in FY2022 (+36.6%).
- The fiscal Q2 2027 figure represents the lowest quarterly Cost of Revenue since fiscal Q1 2025.
- Year-over-year, Cost of Revenue increased in seven of the last eight quarters, with growth averaging 8.1%.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q1 2023 (growth of 41.2%), and the weakest in fiscal Q2 2027 (a decline of 9.0%).
- Business Quant data shows LULU's Cost of Revenue at $1.13 billion (Q1 2027), $1.64 billion (Q4 2026) and $1.14 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 6.42 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 313.00 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 515.60 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 953.75 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 543.90 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 752.34 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 1.12 Bn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 342.46 Mn |
| 10 | Crocs | 5.91 Bn | 5.32 Bn | 700.71 Mn | 478.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 953.75 Mn |
| May 3, 2026 | 1.13 Bn |
| Feb 1, 2026 | 1.64 Bn |
| Nov 2, 2025 | 1.14 Bn |
| Aug 3, 2025 | 1.05 Bn |
| May 4, 2025 | 987.53 Mn |
| Feb 2, 2025 | 1.43 Bn |
| Oct 27, 2024 | 995.05 Mn |
| Jul 28, 2024 | 958.89 Mn |
| Apr 28, 2024 | 933.82 Mn |
| Jan 28, 2024 | 1.30 Bn |
| Oct 29, 2023 | 947.55 Mn |
| Jul 30, 2023 | 910.65 Mn |
| Apr 30, 2023 | 849.99 Mn |
| Jan 29, 2023 | 1.24 Bn |
| Oct 30, 2022 | 818.04 Mn |
| Jul 31, 2022 | 812.85 Mn |
| May 1, 2022 | 743.07 Mn |
| Jan 30, 2022 | 892.94 Mn |
| Oct 31, 2021 | 621.03 Mn |
Lululemon Athletica Cost of Revenue 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=cost-of-revenue&ticker=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();