Palladyne AI (PDYN) Amortization - Intangibles (2022 - 2026)
Palladyne AI (PDYN) reported Amortization - Intangibles of $400,000 for Q2 2026, unchanged from the prior quarter.
Palladyne AI (PDYN) Amortization - Intangibles (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Palladyne AI's Amortization - Intangibles came in at $800,000; for FY2025, it came in at $118,000.
- Amortization - Intangibles has a three-year compound annual growth rate of -62.3% (FY2022 to FY2025).
- By year, Amortization - Intangibles came in at $2.82 million in FY2023 (+28.2%) and $2.2 million in FY2022.
- Five-year quarterly Amortization - Intangibles spans a low of $364,000 in Q4 2023 and a high of $819,000 in Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Aurora Innovation | 11.07 Bn | 6.10 Bn | -5.00 Mn |
| 2 | Mobileye Global | 6.05 Bn | -61.98 Mn | 235.00 Mn |
| 3 | Pony AI | 2.84 Bn | 2.91 Bn | 6.35 Mn |
| 4 | WeRide | 1.82 Bn | -1.20 Bn | 12.76 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - |
| 6 | Serve Robotics | 402.21 Mn | 402.21 Mn | -8.78 Mn |
| 7 | Kodiak AI | 372.81 Mn | -135.31 Mn | - |
| 8 | Richtech Robotics | 354.53 Mn | 354.53 Mn | 802,000.00 |
| 9 | ECARX Holdings | 326.03 Mn | -35.79 Mn | 44.50 Mn |
| 10 | Palladyne AI | 253.58 Mn | 61.95 Mn | 1.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 400,000.00 |
| Mar 31, 2026 | 400,000.00 |
| Dec 31, 2023 | 364,000.00 |
| Sep 30, 2023 | 819,000.00 |
| Jun 30, 2023 | 819,000.00 |
| Mar 31, 2023 | 819,000.00 |
| Dec 31, 2022 | 800,000.00 |
| Sep 30, 2022 | 800,000.00 |
| Jun 30, 2022 | 600,000.00 |
Palladyne AI Amortization - Intangibles 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=amortization-intangibles&ticker=PDYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=PDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();