Lululemon Athletica (LULU) Cash from Operations (2009 - 2026)
Lululemon Athletica (LULU) reported Cash from Operations of $374.84 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 14.0% from $328.68 million a year earlier and up 74.8% from the prior quarter.
Lululemon Athletica (LULU) Cash from Operations (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Lululemon Athletica's Cash from Operations came in at $1.98 billion, up 3.7% year-over-year; for FY2026 (ended Feb 1, 2026), it was $1.6 billion, down 29.5% from FY2025.
- Cash from Operations has a five-year compound annual growth rate of 14.8% (FY2021 to FY2026).
- By fiscal year, Cash from Operations came in at $2.27 billion in FY2025 (-1.0%), $2.3 billion in FY2024 (+137.6%), $966.46 million in FY2023 (-30.4%) and $1.39 billion in FY2022 (+72.9%).
- Five-year quarterly Cash from Operations spans a low of -$243.26 million in fiscal Q1 2023 and a high of $1.4 billion in fiscal Q4 2025.
- Year over year, Cash from Operations gained in two of the last six quarters, with an average decline of 11.5%.
- The high point for year-over-year Cash from Operations in five years was fiscal Q3 2022 (growth of 524.9%); the low point was fiscal Q2 2023 (a decline of 65.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $214.44 million (Q1 2027), $1.14 billion (Q4 2026) and $249.88 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.55 Bn | 21.75 Bn | 4.80 Bn | 135.00 Mn |
| 2 | Tapestry | 23.91 Bn | 19.87 Bn | 1.56 Bn | 522.20 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 339.30 Mn |
| 4 | Deckers Outdoor | 12.58 Bn | 5.45 Bn | - | - |
| 5 | Lululemon Athletica | 11.05 Bn | 5.30 Bn | 1.46 Bn | 374.84 Mn |
| 6 | Levi Strauss | 8.03 Bn | 4.61 Bn | 1.07 Bn | 102.90 Mn |
| 7 | V F | 6.72 Bn | 3.34 Bn | 917.04 Mn | -62.50 Mn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 347.44 Mn |
| 9 | Birkenstock Holding | 6.14 Bn | 4.46 Bn | 493.89 Mn | 286.47 Mn |
| 10 | Crocs | 5.91 Bn | 5.32 Bn | 700.71 Mn | 351.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 374.84 Mn |
| May 3, 2026 | 214.44 Mn |
| Feb 1, 2026 | 1.14 Bn |
| Nov 2, 2025 | 249.88 Mn |
| Aug 3, 2025 | 328.68 Mn |
| May 4, 2025 | -118.95 Mn |
| Feb 2, 2025 | 1.40 Bn |
| Oct 27, 2024 | 300.66 Mn |
| Jul 28, 2024 | 443.14 Mn |
| Apr 28, 2024 | 127.52 Mn |
| Jan 28, 2024 | 1.38 Bn |
| Oct 29, 2023 | 389.85 Mn |
| Jul 30, 2023 | 476.71 Mn |
| Apr 30, 2023 | 45.50 Mn |
| Jan 29, 2023 | 1.05 Bn |
| Oct 30, 2022 | 65.82 Mn |
| Jul 31, 2022 | 97.64 Mn |
| May 1, 2022 | -243.26 Mn |
| Jan 30, 2022 | 730.98 Mn |
| Oct 31, 2021 | 158.35 Mn |
Lululemon Athletica Cash from Operations 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=cash-from-operations&ticker=LULU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();