Palladyne AI (PDYN) Research & Development (2020 - 2026)
Palladyne AI's Research & Development came in at $4.33 million for Q2 2026, up 38.4% from $3.13 million a year earlier and up 10.8% from the prior quarter.
Palladyne AI (PDYN) Research & Development (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Palladyne AI reported Research & Development of $15.14 million, up 35.3% year-over-year; for FY2025, it was $12.9 million, up 23.6% from FY2024.
- Research & Development carries a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- Going back by year, Research & Development was $10.44 million in FY2024 (-73.2%), $39.01 million in FY2023 (+14.3%), $34.14 million in FY2022 (+94.9%) and $17.52 million in FY2021 (+24.1%).
- The Q2 2026 figure represents the highest quarterly Research & Development since Q4 2023.
- Year-over-year, Research & Development has increased for five consecutive quarters, with growth averaging 3.9% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q3 2022 (growth of 131.8%), and the weakest in Q2 2024 (a decline of 79.9%).
- Business Quant data shows PDYN's Research & Development at $3.91 million (Q1 2026), $3.76 million (Q4 2025) and $3.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 10.57 Bn | 5.60 Bn | -5.00 Mn | 211.00 Mn |
| 2 | Mobileye Global | 6.38 Bn | 273.40 Mn | 235.00 Mn | 207.00 Mn |
| 3 | Pony AI | 3.01 Bn | 3.08 Bn | 6.35 Mn | -56.24 Mn |
| 4 | WeRide | 1.89 Bn | -1.13 Bn | 12.76 Mn | -63.79 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | - |
| 6 | Kodiak AI | 440.77 Mn | -67.35 Mn | - | 22.70 Mn |
| 7 | Serve Robotics | 383.18 Mn | 383.18 Mn | -8.78 Mn | 20.28 Mn |
| 8 | Richtech Robotics | 352.29 Mn | 352.29 Mn | 802,000.00 | 950,000.00 |
| 9 | ECARX Holdings | 350.87 Mn | -10.95 Mn | 44.50 Mn | -29.10 Mn |
| 10 | Palladyne AI | 259.48 Mn | 67.85 Mn | 1.68 Mn | 4.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.33 Mn |
| Mar 31, 2026 | 3.91 Mn |
| Dec 31, 2025 | 3.76 Mn |
| Sep 30, 2025 | 3.15 Mn |
| Jun 30, 2025 | 3.13 Mn |
| Mar 31, 2025 | 2.87 Mn |
| Dec 31, 2024 | 2.61 Mn |
| Sep 30, 2024 | 2.58 Mn |
| Jun 30, 2024 | 2.35 Mn |
| Mar 31, 2024 | 2.90 Mn |
| Dec 31, 2023 | 7.89 Mn |
| Sep 30, 2023 | 10.01 Mn |
| Jun 30, 2023 | 11.71 Mn |
| Mar 31, 2023 | 9.40 Mn |
| Dec 31, 2022 | 10.20 Mn |
| Sep 30, 2022 | 10.50 Mn |
| Jun 30, 2022 | 7.57 Mn |
| Mar 31, 2022 | 5.88 Mn |
| Dec 31, 2021 | 6.12 Mn |
| Sep 30, 2021 | 4.53 Mn |
Palladyne AI Research & Development 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=research-and-development&ticker=PDYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=PDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();