Palladyne AI (PDYN) Price to Earnings (2025)
Palladyne AI's (PDYN) Price to Earnings was 19.57 for Q4 2025.
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Analysis
Palladyne AI (PDYN) Price to Earnings (2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Aurora Innovation | 9.71 Bn | 4.75 Bn | -5.00 Mn |
| 2 | Mobileye Global | 5.69 Bn | -421.90 Mn | 235.00 Mn |
| 3 | Pony AI | 2.18 Bn | 1.13 Bn | 6.35 Mn |
| 4 | WeRide | 1.41 Bn | -1.62 Bn | 12.76 Mn |
| 5 | NightFood Holdings | 781.99 Mn | 778.71 Mn | 1.61 Mn |
| 6 | Securetech Innovations | 282.03 Mn | 282.03 Mn | - |
| 7 | ECARX Holdings | 267.03 Mn | -10.82 Mn | 44.50 Mn |
| 8 | Richtech Robotics | 262.53 Mn | -1.02 Bn | 802,000.00 |
| 9 | Serve Robotics | 249.11 Mn | -617.67 Mn | -8.78 Mn |
| 10 | Palladyne AI | 179.37 Mn | -12.25 Mn | 1.68 Mn |
API Access
Palladyne AI 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=PDYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "PDYN", "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=PDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();