Willow Lane Acquisition (WLII) Price to Earnings (2026)
Willow Lane Acquisition's Price to Earnings came in at 83.56 for Q3 2026.
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Analysis
Willow Lane Acquisition (WLII) Price to Earnings (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - |
| 10 | Willow Lane Acquisition | 204.51 Mn | 203.34 Mn | - |
API Access
Willow Lane Acquisition Price to Earnings 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=price-to-earnings&ticker=WLII&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "WLII", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=WLII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();