Palladyne AI (PDYN) Non-Current Assets (2020 - 2026)
Palladyne AI's Non-Current Assets came in at $42.36 million for Q2 2026, up 239.0% from $12.5 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Palladyne AI (PDYN) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Palladyne AI's Non-Current Assets was $43.16 million, up 219.1% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 90.6% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $13.52 million in FY2024 (-12.0%), $15.36 million in FY2023 (-60.1%), $38.53 million in FY2022 (+414.2%) and $7.49 million in FY2021 (+336.3%).
- The five-year range for quarterly Non-Current Assets is $7.3 million (Q1 2022) to $99.87 million (Q2 2022).
- Year-over-year, Non-Current Assets has increased for three consecutive quarters, with growth averaging 71.6% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q4 2022 (growth of 414.2%), and the weakest in Q1 2022 (a decline of 97.4%).
- Business Quant data shows PDYN's Non-Current Assets at $42.2 million (Q1 2026), $43.16 million (Q4 2025) and $12.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 10.57 Bn | 5.60 Bn | -5.00 Mn | 915.00 Mn |
| 2 | Mobileye Global | 6.38 Bn | 273.40 Mn | 235.00 Mn | 6.76 Bn |
| 3 | Pony AI | 3.01 Bn | 3.08 Bn | 6.35 Mn | 501.83 Mn |
| 4 | WeRide | 1.89 Bn | -1.13 Bn | 12.76 Mn | 165.56 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | 10.18 Mn |
| 6 | Kodiak AI | 440.77 Mn | -67.35 Mn | - | 37.85 Mn |
| 7 | Serve Robotics | 383.18 Mn | 383.18 Mn | -8.78 Mn | 131.33 Mn |
| 8 | Richtech Robotics | 352.29 Mn | 352.29 Mn | 802,000.00 | 28.61 Mn |
| 9 | ECARX Holdings | 350.87 Mn | -10.95 Mn | 44.50 Mn | 288.88 Mn |
| 10 | Palladyne AI | 259.48 Mn | 67.85 Mn | 1.68 Mn | 42.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.36 Mn |
| Mar 31, 2026 | 42.20 Mn |
| Dec 31, 2025 | 43.16 Mn |
| Sep 30, 2025 | 12.42 Mn |
| Jun 30, 2025 | 12.50 Mn |
| Mar 31, 2025 | 13.04 Mn |
| Dec 31, 2024 | 13.52 Mn |
| Sep 30, 2024 | 14.04 Mn |
| Jun 30, 2024 | 14.58 Mn |
| Mar 31, 2024 | 14.88 Mn |
| Dec 31, 2023 | 15.36 Mn |
| Sep 30, 2023 | 34.19 Mn |
| Jun 30, 2023 | 35.40 Mn |
| Mar 31, 2023 | 37.40 Mn |
| Dec 31, 2022 | 38.53 Mn |
| Sep 30, 2022 | 98.74 Mn |
| Jun 30, 2022 | 99.87 Mn |
| Mar 31, 2022 | 7.30 Mn |
| Dec 31, 2021 | 7.49 Mn |
| Sep 30, 2021 | 7.59 Mn |
API Access
Palladyne AI Non-Current Assets 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-current-assets&ticker=PDYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();