Palladyne AI (PDYN) Return on Capital Employed [ROCE] (2021 - 2026)
Palladyne AI (PDYN) posted Return on Capital Employed [ROCE] of -50.12% for Q2 2026, down 7.10 percentage points from -43.02% a year earlier and down 7.49 percentage points from the prior quarter.
Palladyne AI (PDYN) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Palladyne AI's Return on Capital Employed [ROCE] came in at -46.08%, up 3.86 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a four-year change of +15.85 percentage points (FY2021 to FY2025).
- In prior years, Palladyne AI's Return on Capital Employed [ROCE] was -49.94% in FY2024 (+64.63 pp), -114.57% in FY2023 (-21.98 pp), -92.60% in FY2022 (-30.67 pp) and -61.93% in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q4 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in seven of the last eight quarters, with an average year-over-year change of +71.83 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2025, with a gain of 162.63 percentage points; the weakest was Q3 2023, with a drop of 133.98 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -42.63% (Q1 2026), -41.20% (Q4 2025) and -41.56% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 11.03 Bn | 6.06 Bn | -5.00 Mn | -46.95% |
| 2 | Mobileye Global | 6.01 Bn | -94.70 Mn | 235.00 Mn | -50.09% |
| 3 | Pony AI | 2.71 Bn | 2.78 Bn | 6.35 Mn | - |
| 4 | WeRide | 1.78 Bn | -1.24 Bn | 12.76 Mn | -22.51% |
| 5 | Securetech Innovations | 800.22 Mn | 799.63 Mn | - | - |
| 6 | Serve Robotics | 410.86 Mn | 410.86 Mn | -8.78 Mn | -56.68% |
| 7 | Richtech Robotics | 392.68 Mn | 392.68 Mn | 802,000.00 | -9.89% |
| 8 | Kodiak AI | 324.27 Mn | -183.85 Mn | - | -111.82% |
| 9 | ECARX Holdings | 304.30 Mn | -57.52 Mn | 44.50 Mn | - |
| 10 | Palladyne AI | 261.44 Mn | 69.82 Mn | 1.68 Mn | -50.12% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -50.12% |
| Mar 31, 2026 | -42.63% |
| Dec 31, 2025 | -41.20% |
| Sep 30, 2025 | -41.56% |
| Jun 30, 2025 | -43.02% |
| Mar 31, 2025 | -46.79% |
| Dec 31, 2024 | -62.52% |
| Sep 30, 2024 | -155.36% |
| Jun 30, 2024 | -188.07% |
| Mar 31, 2024 | -209.42% |
| Dec 31, 2023 | -173.92% |
| Sep 30, 2023 | -178.76% |
| Jun 30, 2023 | -140.94% |
| Mar 31, 2023 | -117.70% |
| Dec 31, 2022 | -90.47% |
| Sep 30, 2022 | -44.78% |
| Jun 30, 2022 | -53.41% |
| Mar 31, 2022 | -46.10% |
| Dec 31, 2021 | -34.18% |
| Sep 30, 2021 | -22.11% |
Palladyne AI Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=PDYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=PDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();