Palladyne AI (PDYN) Operating Margin (2020 - 2026)
Palladyne AI (PDYN) reported Operating Margin of -231.94% for Q2 2026, up 565.50 percentage points from -797.44% a year earlier and up 104.95 percentage points from the prior quarter.
Palladyne AI (PDYN) Operating Margin (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Palladyne AI's Operating Margin came in at -360.67%, up 300.52 percentage points year-over-year; for FY2025, it was -617.69%, down 271.90 percentage points from FY2024.
- Operating Margin has a five-year change of -379.42 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at -345.79% in FY2024 (+1622.26 pp), -1968.04% in FY2023 (-752.88 pp), -1215.17% in FY2022 (+380.71 pp) and -1595.88% in FY2021 (-1357.61 pp).
- The Q2 2026 figure ranks as the highest quarterly Operating Margin since Q2 2024.
- Year over year, Operating Margin has now increased in each of the last three quarters, with an average year-over-year change of +626.26 percentage points over the last eight quarters.
- The high point for year-over-year Operating Margin in five years was Q4 2024 (a gain of 4115.12 percentage points); the low point was Q4 2023 (a drop of 3412.25 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -336.89% (Q1 2026), -560.75% (Q4 2025) and -937.79% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 10.77 Bn | 5.80 Bn | -5.00 Mn | -13,300.00% |
| 2 | Mobileye Global | 6.19 Bn | 85.26 Mn | 235.00 Mn | -5.91% |
| 3 | Pony AI | 2.84 Bn | 2.91 Bn | 6.35 Mn | -181.51% |
| 4 | WeRide | 1.80 Bn | -1.22 Bn | 12.76 Mn | -167.32% |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | - |
| 6 | Kodiak AI | 413.59 Mn | -94.53 Mn | - | -1,248.27% |
| 7 | Serve Robotics | 400.48 Mn | 400.48 Mn | -8.78 Mn | -2,040.30% |
| 8 | Richtech Robotics | 356.77 Mn | 356.77 Mn | 802,000.00 | -966.28% |
| 9 | ECARX Holdings | 332.24 Mn | -29.58 Mn | 44.50 Mn | -2.75% |
| 10 | Palladyne AI | 256.53 Mn | 64.90 Mn | 1.68 Mn | -231.94% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -231.94% |
| Mar 31, 2026 | -336.89% |
| Dec 31, 2025 | -560.75% |
| Sep 30, 2025 | -937.79% |
| Jun 30, 2025 | -797.44% |
| Mar 31, 2025 | -405.32% |
| Dec 31, 2024 | -852.04% |
| Sep 30, 2024 | -838.00% |
| Jun 30, 2024 | -213.31% |
| Mar 31, 2024 | -213.69% |
| Dec 31, 2023 | -4,967.16% |
| Sep 30, 2023 | -1,683.31% |
| Jun 30, 2023 | -2,346.05% |
| Mar 31, 2023 | -1,009.93% |
| Dec 31, 2022 | -1,554.91% |
| Sep 30, 2022 | -583.89% |
| Jun 30, 2022 | -954.02% |
| Mar 31, 2022 | -3,449.39% |
| Dec 31, 2021 | -2,753.39% |
| Sep 30, 2021 | -3,586.18% |
Palladyne AI Operating Margin 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=operating-margin&ticker=PDYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=PDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();