Palladyne AI (PDYN) Return on Assets [ROA] (2021 - 2026)
Palladyne AI (PDYN) reported Return on Assets [ROA] of -32.27% for Q2 2026, up 30.99 percentage points from -63.26% a year earlier but down 5.37 percentage points from the prior quarter.
Palladyne AI (PDYN) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For FY2025, Palladyne AI posted Return on Assets [ROA] of 13.21%, up 137.69 percentage points from FY2024.
- Return on Assets [ROA] has a four-year change of +72.73 percentage points (FY2021 to FY2025).
- By year, Return on Assets [ROA] came in at -124.47% in FY2024 (-23.09 pp), -101.39% in FY2023 (-23.49 pp), -77.89% in FY2022 (-18.37 pp) and -59.52% in FY2021.
- Five-year quarterly Return on Assets [ROA] spans a low of -182.91% in Q1 2024 and a high of 11.91% in Q4 2025.
- Year over year, Return on Assets [ROA] has now increased in each of the last six quarters, with an average year-over-year change of +68.87 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was Q4 2025 (a gain of 164.80 percentage points); the low point was Q3 2023 (a drop of 119.72 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -26.91% (Q1 2026), 11.91% (Q4 2025) and -54.80% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 11.07 Bn | 6.10 Bn | -5.00 Mn | -41.36% |
| 2 | Mobileye Global | 6.05 Bn | -61.98 Mn | 235.00 Mn | -46.23% |
| 3 | Pony AI | 2.84 Bn | 2.91 Bn | 6.35 Mn | - |
| 4 | WeRide | 1.82 Bn | -1.20 Bn | 12.76 Mn | -20.51% |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | - |
| 6 | Serve Robotics | 402.21 Mn | 402.21 Mn | -8.78 Mn | -50.28% |
| 7 | Kodiak AI | 372.81 Mn | -135.31 Mn | - | -187.36% |
| 8 | Richtech Robotics | 354.53 Mn | 354.53 Mn | 802,000.00 | -9.98% |
| 9 | ECARX Holdings | 326.03 Mn | -35.79 Mn | 44.50 Mn | -3.75% |
| 10 | Palladyne AI | 253.58 Mn | 61.95 Mn | 1.68 Mn | -32.27% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -32.27% |
| Mar 31, 2026 | -26.91% |
| Dec 31, 2025 | 11.91% |
| Sep 30, 2025 | -54.80% |
| Jun 30, 2025 | -63.26% |
| Mar 31, 2025 | -71.31% |
| Dec 31, 2024 | -152.89% |
| Sep 30, 2024 | -133.90% |
| Jun 30, 2024 | -163.37% |
| Mar 31, 2024 | -182.91% |
| Dec 31, 2023 | -148.21% |
| Sep 30, 2023 | -158.57% |
| Jun 30, 2023 | -122.85% |
| Mar 31, 2023 | -101.05% |
| Dec 31, 2022 | -76.19% |
| Sep 30, 2022 | -38.85% |
| Jun 30, 2022 | -47.31% |
| Mar 31, 2022 | -42.35% |
| Dec 31, 2021 | -33.52% |
| Sep 30, 2021 | -19.48% |
Palladyne AI Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=PDYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=PDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();