Palladyne AI (PDYN) Total Non-Current Liabilities (2020 - 2026)
Palladyne AI (PDYN) recorded Total Non-Current Liabilities of $20.55 million in Q2 2026, up 54.3% from $13.32 million a year earlier and up 9.2% from the prior quarter.
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Analysis
Palladyne AI (PDYN) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Palladyne AI reported Total Non-Current Liabilities of $18.16 million, up 26.2% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 31.5% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $14.39 million in FY2024 (-26.2%), $19.49 million in FY2023 (-15.0%), $22.92 million in FY2022 (+272.0%) and $6.16 million in FY2021 (+33.3%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities since Q2 2023.
- On a year-over-year basis, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 272.0% in Q4 2022, against a decline of 96.8% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.82 million (Q1 2026), $18.16 million (Q4 2025) and $13.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 10.57 Bn | 5.60 Bn | -5.00 Mn | 184.00 Mn |
| 2 | Mobileye Global | 6.38 Bn | 273.40 Mn | 235.00 Mn | 176.00 Mn |
| 3 | Pony AI | 3.01 Bn | 3.08 Bn | 6.35 Mn | 91.09 Mn |
| 4 | WeRide | 1.89 Bn | -1.13 Bn | 12.76 Mn | 18.12 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | 742,910.00 |
| 6 | Kodiak AI | 440.77 Mn | -67.35 Mn | - | 285.57 Mn |
| 7 | Serve Robotics | 383.18 Mn | 383.18 Mn | -8.78 Mn | - |
| 8 | Richtech Robotics | 352.29 Mn | 352.29 Mn | 802,000.00 | 1.95 Mn |
| 9 | ECARX Holdings | 350.87 Mn | -10.95 Mn | 44.50 Mn | 268.61 Mn |
| 10 | Palladyne AI | 259.48 Mn | 67.85 Mn | 1.68 Mn | 20.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.55 Mn |
| Mar 31, 2026 | 18.82 Mn |
| Dec 31, 2025 | 18.16 Mn |
| Sep 30, 2025 | 13.68 Mn |
| Jun 30, 2025 | 13.32 Mn |
| Mar 31, 2025 | 12.85 Mn |
| Dec 31, 2024 | 14.39 Mn |
| Sep 30, 2024 | 15.11 Mn |
| Jun 30, 2024 | 15.14 Mn |
| Mar 31, 2024 | 15.92 Mn |
| Dec 31, 2023 | 19.49 Mn |
| Sep 30, 2023 | 19.34 Mn |
| Jun 30, 2023 | 21.42 Mn |
| Mar 31, 2023 | 21.48 Mn |
| Dec 31, 2022 | 22.92 Mn |
| Sep 30, 2022 | 11.78 Mn |
| Jun 30, 2022 | 14.56 Mn |
| Mar 31, 2022 | 7.48 Mn |
| Dec 31, 2021 | 6.16 Mn |
| Sep 30, 2021 | 8.74 Mn |
API Access
Palladyne AI Total Non-Current 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-non-current-liabilities&ticker=PDYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();