Lululemon Athletica (LULU) Receivables (2010 - 2026)
Lululemon Athletica's Receivables came in at $171.16 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 22.9% from $139.26 million a year earlier and up 3.8% from the prior quarter.
Lululemon Athletica (LULU) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Lululemon Athletica's Receivables was $190.66 million, up 58.7% from FY2025.
- Receivables carries a five-year compound annual growth rate of 25.0% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $120.17 million in FY2025 (-3.7%), $124.77 million in FY2024 (-6.1%), $132.91 million in FY2023 (+72.6%) and $77 million in FY2022 (+23.4%).
- The five-year range for quarterly Receivables is $75.34 million (fiscal Q3 2022) to $250.3 million (fiscal Q3 2026).
- Year-over-year, Receivables has increased for six consecutive quarters, with growth averaging 28.2% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q3 2026 (growth of 74.5%), and the weakest in fiscal Q4 2024 (a decline of 6.1%).
- Business Quant data shows LULU's Receivables at $164.97 million (Q1 2027), $190.66 million (Q4 2026) and $250.3 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 5.93 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 237.10 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 407.20 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 318.98 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 171.16 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 586.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 1.08 Bn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 328.90 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 430.30 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 1.22 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 171.16 Mn |
| May 3, 2026 | 164.97 Mn |
| Feb 1, 2026 | 190.66 Mn |
| Nov 2, 2025 | 250.30 Mn |
| Aug 3, 2025 | 139.26 Mn |
| May 4, 2025 | 141.24 Mn |
| Feb 2, 2025 | 120.17 Mn |
| Oct 27, 2024 | 143.42 Mn |
| Jul 28, 2024 | 126.12 Mn |
| Apr 28, 2024 | 126.35 Mn |
| Jan 28, 2024 | 124.77 Mn |
| Oct 29, 2023 | 107.00 Mn |
| Jul 30, 2023 | 106.22 Mn |
| Apr 30, 2023 | 107.47 Mn |
| Jan 29, 2023 | 132.91 Mn |
| Oct 30, 2022 | 96.18 Mn |
| Jul 31, 2022 | 81.78 Mn |
| May 1, 2022 | 78.39 Mn |
| Jan 30, 2022 | 77.00 Mn |
| Oct 31, 2021 | 75.34 Mn |
Lululemon Athletica 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=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();