Palladyne AI (PDYN) Total Liabilities (2020 - 2026)
Palladyne AI's Total Liabilities came in at $23.55 million for Q2 2026, down 3.8% from $24.48 million a year earlier but up 4.0% from the prior quarter.
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Analysis
Palladyne AI (PDYN) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Palladyne AI's Total Liabilities was $21.04 million, down 68.0% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 32.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $65.79 million in FY2024 (+237.0%), $19.52 million in FY2023 (-15.8%), $23.18 million in FY2022 (+6.0%) and $21.86 million in FY2021 (+324.7%).
- The five-year range for quarterly Total Liabilities is $13.82 million (Q3 2022) to $65.79 million (Q4 2024).
- Year-over-year, Total Liabilities has declined for three consecutive quarters, with growth averaging 40.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 324.7%), and the weakest in Q1 2022 (a decline of 94.1%).
- Business Quant data shows PDYN's Total Liabilities at $22.64 million (Q1 2026), $21.04 million (Q4 2025) and $21.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 10.57 Bn | 5.60 Bn | -5.00 Mn | 214.00 Mn |
| 2 | Mobileye Global | 6.38 Bn | 273.40 Mn | 235.00 Mn | 628.00 Mn |
| 3 | Pony AI | 3.01 Bn | 3.08 Bn | 6.35 Mn | 93.01 Mn |
| 4 | WeRide | 1.89 Bn | -1.13 Bn | 12.76 Mn | 199.75 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | 7.12 Mn |
| 6 | Kodiak AI | 440.77 Mn | -67.35 Mn | - | 383.30 Mn |
| 7 | Serve Robotics | 383.18 Mn | 383.18 Mn | -8.78 Mn | 26.83 Mn |
| 8 | Richtech Robotics | 352.29 Mn | 352.29 Mn | 802,000.00 | 4.35 Mn |
| 9 | ECARX Holdings | 350.87 Mn | -10.95 Mn | 44.50 Mn | 1.25 Bn |
| 10 | Palladyne AI | 259.48 Mn | 67.85 Mn | 1.68 Mn | 23.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.55 Mn |
| Mar 31, 2026 | 22.64 Mn |
| Dec 31, 2025 | 21.04 Mn |
| Sep 30, 2025 | 21.08 Mn |
| Jun 30, 2025 | 24.48 Mn |
| Mar 31, 2025 | 35.00 Mn |
| Dec 31, 2024 | 65.79 Mn |
| Sep 30, 2024 | 15.32 Mn |
| Jun 30, 2024 | 15.30 Mn |
| Mar 31, 2024 | 16.20 Mn |
| Dec 31, 2023 | 19.52 Mn |
| Sep 30, 2023 | 19.43 Mn |
| Jun 30, 2023 | 21.62 Mn |
| Mar 31, 2023 | 22.13 Mn |
| Dec 31, 2022 | 23.18 Mn |
| Sep 30, 2022 | 13.82 Mn |
| Jun 30, 2022 | 17.73 Mn |
| Mar 31, 2022 | 14.77 Mn |
| Dec 31, 2021 | 21.86 Mn |
| Sep 30, 2021 | 14.01 Mn |
API Access
Palladyne AI Total Liabilities 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=total-liabilities&ticker=PDYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();