Palladyne AI (PDYN) Receivables (2020 - 2026)
Palladyne AI (PDYN) posted Receivables of $5.64 million for Q2 2026, up 225.4% from $1.73 million a year earlier and up 34.0% from the prior quarter.
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Analysis
Palladyne AI (PDYN) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Palladyne AI's Receivables came in at $3.51 million, up 167.3% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 22.5% (FY2020 to FY2025).
- In prior years, Palladyne AI's Receivables was $1.31 million in FY2024 (-49.3%), $2.59 million in FY2023 (-57.0%), $6.03 million in FY2022 (+497.2%) and $1.01 million in FY2021 (-20.6%).
- The Q2 2026 figure stands as the highest quarterly Receivables in data going back to Q4 2020.
- On a year-over-year basis, Receivables has increased in each of the last three quarters, with growth averaging 96.8% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was Q4 2025, with growth of 573.5%; the weakest was Q4 2024, with a decline of 73.2%.
- According to Business Quant data, Receivables for the three prior quarters was $4.21 million (Q1 2026), $1.09 million (Q4 2025) and $2.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 10.57 Bn | 5.60 Bn | -5.00 Mn | - |
| 2 | Mobileye Global | 6.38 Bn | 273.40 Mn | 235.00 Mn | 208.00 Mn |
| 3 | Pony AI | 3.01 Bn | 3.08 Bn | 6.35 Mn | 56.23 Mn |
| 4 | WeRide | 1.89 Bn | -1.13 Bn | 12.76 Mn | 71.90 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | 1.93 Mn |
| 6 | Kodiak AI | 440.77 Mn | -67.35 Mn | - | 834,000.00 |
| 7 | Serve Robotics | 383.18 Mn | 383.18 Mn | -8.78 Mn | 5.49 Mn |
| 8 | Richtech Robotics | 352.29 Mn | 352.29 Mn | 802,000.00 | 922,000.00 |
| 9 | ECARX Holdings | 350.87 Mn | -10.95 Mn | 44.50 Mn | 84.23 Mn |
| 10 | Palladyne AI | 259.48 Mn | 67.85 Mn | 1.68 Mn | 5.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.64 Mn |
| Mar 31, 2026 | 4.21 Mn |
| Dec 31, 2025 | 1.09 Mn |
| Sep 30, 2025 | 2.15 Mn |
| Jun 30, 2025 | 1.73 Mn |
| Mar 31, 2025 | 1.93 Mn |
| Dec 31, 2024 | 162,000.00 |
| Sep 30, 2024 | 2.20 Mn |
| Jun 30, 2024 | 2.82 Mn |
| Mar 31, 2024 | 1.96 Mn |
| Dec 31, 2023 | 605,000.00 |
| Sep 30, 2023 | 3.02 Mn |
| Jun 30, 2023 | 2.81 Mn |
| Mar 31, 2023 | 4.64 Mn |
| Dec 31, 2022 | 1.93 Mn |
| Sep 30, 2022 | 4.42 Mn |
| Jun 30, 2022 | 3.97 Mn |
| Mar 31, 2022 | 959,000.00 |
| Dec 31, 2021 | 882,000.00 |
| Sep 30, 2021 | 862,000.00 |
API Access
Palladyne AI Receivables 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=receivables&ticker=PDYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();