Ralph Lauren (RL) Non Operating Income (2024 - 2026)
Ralph Lauren (RL) recorded Non Operating Income of -$200,000 in fiscal Q1 2027 (quarter ended Jun 27, 2026), compared with $4.4 million a year earlier.
Ralph Lauren (RL) Non Operating Income (2024 - 2026) Analysis & Trends
On a TTM basis, Ralph Lauren's Non Operating Income came in at -$6.1 million as of Jun 27, 2026; for FY2026 (ended Mar 28, 2026), it came in at -$1.5 million.
- Across earlier fiscal years, Non Operating Income came in at $18.6 million in FY2025 (-11.4%), $21 million in FY2024 and -$12.3 million in FY2023.
- Quarterly Non Operating Income has ranged from -$7.5 million in fiscal Q3 2026 to $9.2 million in fiscal Q2 2025 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $4.5 million (Q4 2026), -$7.5 million (Q3 2026) and -$2.9 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.55 Bn | 23.75 Bn | 4.80 Bn | - |
| 2 | Tapestry | 27.52 Bn | 23.48 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 23.85 Bn | 15.77 Bn | 1.63 Bn | 5.50 Mn |
| 4 | Lululemon Athletica | 12.34 Bn | 6.60 Bn | 1.46 Bn | - |
| 5 | Deckers Outdoor | 12.04 Bn | 5.24 Bn | 895.11 Mn | 14.00 Mn |
| 6 | Levi Strauss | 9.26 Bn | 5.84 Bn | 1.07 Bn | - |
| 7 | V F | 8.01 Bn | 4.61 Bn | 1.49 Bn | - |
| 8 | Crocs | 7.52 Bn | 6.93 Bn | 689.73 Mn | - |
| 9 | Birkenstock Holding | 6.90 Bn | 5.23 Bn | 493.89 Mn | - |
| 10 | Gildan Activewear | 5.48 Bn | 4.86 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 5.50 Mn |
| Jun 27, 2026 | -200,000.00 |
| Mar 28, 2026 | 4.50 Mn |
| Dec 27, 2025 | -7.50 Mn |
| Sep 27, 2025 | -2.90 Mn |
| Jun 28, 2025 | 4.40 Mn |
| Mar 29, 2025 | 7.30 Mn |
| Dec 28, 2024 | -6.00 Mn |
| Sep 28, 2024 | 9.20 Mn |
| Jun 29, 2024 | 8.10 Mn |
Ralph Lauren Non Operating Income 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=non-operating-income&ticker=RL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=RL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();