Palladyne AI (PDYN) FCF Margin (2020 - 2026)
Palladyne AI (PDYN) posted FCF Margin of -190.63% for Q2 2026, up 334.10 percentage points from -524.73% a year earlier and up 99.54 percentage points from the prior quarter.
Palladyne AI (PDYN) FCF Margin (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, FCF Margin at Palladyne AI was -309.96%, up 208.50 percentage points year-over-year; for FY2025, it was -540.41%, down 246.40 percentage points from FY2024.
- Annual FCF Margin shows a five-year change of -338.07 percentage points (FY2020 to FY2025).
- In prior years, Palladyne AI's FCF Margin was -294.01% in FY2024 (+965.37 pp), -1259.39% in FY2023 (-800.27 pp), -459.12% in FY2022 (+462.87 pp) and -921.99% in FY2021 (-719.65 pp).
- The Q2 2026 figure stands as the highest quarterly FCF Margin since Q4 2020.
- On a year-over-year basis, FCF Margin has increased in each of the last three quarters, with an average year-over-year change of +243.46 percentage points over the last eight quarters.
- The strongest year-over-year quarter for FCF Margin in the past five years was Q4 2022, with a gain of 1925.76 percentage points; the weakest was Q4 2021, with a drop of 2141.41 percentage points.
- According to Business Quant data, FCF Margin for the three prior quarters was -290.16% (Q1 2026), -526.25% (Q4 2025) and -776.05% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 10.57 Bn | 5.60 Bn | -5.00 Mn | -12,800.00% |
| 2 | Mobileye Global | 6.38 Bn | 273.40 Mn | 235.00 Mn | 22.44% |
| 3 | Pony AI | 3.01 Bn | 3.08 Bn | 6.35 Mn | -121.52% |
| 4 | WeRide | 1.89 Bn | -1.13 Bn | 12.76 Mn | - |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | - |
| 6 | Kodiak AI | 440.77 Mn | -67.35 Mn | - | -1,087.68% |
| 7 | Serve Robotics | 383.18 Mn | 383.18 Mn | -8.78 Mn | -1,367.79% |
| 8 | Richtech Robotics | 352.29 Mn | 352.29 Mn | 802,000.00 | -1,673.27% |
| 9 | ECARX Holdings | 350.87 Mn | -10.95 Mn | 44.50 Mn | - |
| 10 | Palladyne AI | 259.48 Mn | 67.85 Mn | 1.68 Mn | -190.63% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -190.63% |
| Mar 31, 2026 | -290.16% |
| Dec 31, 2025 | -526.25% |
| Sep 30, 2025 | -776.05% |
| Jun 30, 2025 | -524.73% |
| Mar 31, 2025 | -444.97% |
| Dec 31, 2024 | -675.95% |
| Sep 30, 2024 | -517.80% |
| Jun 30, 2024 | -218.95% |
| Mar 31, 2024 | -212.09% |
| Dec 31, 2023 | -2,177.75% |
| Sep 30, 2023 | -1,121.95% |
| Jun 30, 2023 | -1,576.82% |
| Mar 31, 2023 | -893.82% |
| Dec 31, 2022 | -349.53% |
| Sep 30, 2022 | -361.69% |
| Jun 30, 2022 | -515.08% |
| Mar 31, 2022 | -1,745.09% |
| Dec 31, 2021 | -2,275.30% |
| Sep 30, 2021 | -709.03% |
Palladyne AI FCF 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=fcf-margin&ticker=PDYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-margin&ticker=PDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();