Ralph Lauren (RL) EBITDA (2009 - 2026)
Ralph Lauren's EBITDA came in at $401.3 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 21.9% from $329.1 million a year earlier and up 60.9% from the prior quarter.
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Analysis
Ralph Lauren (RL) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Ralph Lauren reported EBITDA of $1.48 billion, up 21.9% year-over-year; for FY2026 (ended Mar 28, 2026), it came in at $1.41 billion, up 22.6% from FY2025.
- EBITDA has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 47.2% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $1.15 billion in FY2025 (+16.9%), $985.4 million in FY2024 (+6.6%), $924.7 million in FY2023 (-10.1%) and $1.03 billion in FY2022 (+404.0%).
- The five-year range for quarterly EBITDA is $97.2 million (fiscal Q4 2022) to $531 million (fiscal Q3 2026).
- Year-over-year, EBITDA has increased for 11 consecutive quarters, with growth averaging 20.8% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q2 2022 (growth of 647.1%), and the weakest in fiscal Q1 2023 (a decline of 17.2%).
- Business Quant data shows RL's EBITDA at $249.4 million (Q4 2026), $531 million (Q3 2026) and $302.7 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.50 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 500.90 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 401.30 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 595.99 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 179.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 244.22 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 244.59 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 305.72 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | -25.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 401.30 Mn |
| Mar 28, 2026 | 249.40 Mn |
| Dec 27, 2025 | 531.00 Mn |
| Sep 27, 2025 | 302.70 Mn |
| Jun 28, 2025 | 329.10 Mn |
| Mar 29, 2025 | 210.00 Mn |
| Dec 28, 2024 | 444.00 Mn |
| Sep 28, 2024 | 234.80 Mn |
| Jun 29, 2024 | 262.90 Mn |
| Mar 30, 2024 | 163.80 Mn |
| Dec 30, 2023 | 373.90 Mn |
| Sep 30, 2023 | 223.00 Mn |
| Jul 1, 2023 | 224.70 Mn |
| Apr 1, 2023 | 97.40 Mn |
| Dec 31, 2022 | 337.30 Mn |
| Oct 1, 2022 | 260.00 Mn |
| Jul 2, 2022 | 230.00 Mn |
| Apr 2, 2022 | 97.20 Mn |
| Dec 25, 2021 | 345.30 Mn |
| Sep 25, 2021 | 307.80 Mn |
API Access
Ralph Lauren EBITDA 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=ebitda&ticker=RL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();