Palladyne AI (PDYN) Pension (2020)
Palladyne AI's Pension was $286,000 in Q4 2020.
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Analysis
Palladyne AI (PDYN) Pension (2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Aurora Innovation | 10.57 Bn | 5.60 Bn | -5.00 Mn |
| 2 | Mobileye Global | 6.38 Bn | 273.40 Mn | 235.00 Mn |
| 3 | Pony AI | 3.01 Bn | 3.08 Bn | 6.35 Mn |
| 4 | WeRide | 1.89 Bn | -1.13 Bn | 12.76 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - |
| 6 | Kodiak AI | 440.77 Mn | -67.35 Mn | - |
| 7 | Serve Robotics | 383.18 Mn | 383.18 Mn | -8.78 Mn |
| 8 | Richtech Robotics | 352.29 Mn | 352.29 Mn | 802,000.00 |
| 9 | ECARX Holdings | 350.87 Mn | -10.95 Mn | 44.50 Mn |
| 10 | Palladyne AI | 259.48 Mn | 67.85 Mn | 1.68 Mn |
API Access
Palladyne AI Pension 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=pension&ticker=PDYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=PDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();