Palladyne AI (PDYN) Total Current Liabilities (2020 - 2026)
Palladyne AI's Total Current Liabilities came in at $8.26 million for Q2 2026, up 114.9% from $3.84 million a year earlier and up 28.7% from the prior quarter.
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Analysis
Palladyne AI (PDYN) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Palladyne AI's Total Current Liabilities was $5.67 million, up 27.8% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $4.43 million in FY2024 (-47.6%), $8.46 million in FY2023 (-19.7%), $10.53 million in FY2022 (+70.9%) and $6.16 million in FY2021 (+73.3%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q4 2023.
- Year-over-year, Total Current Liabilities has increased for three consecutive quarters, with growth averaging 11.8% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2022 (growth of 124.3%), and the weakest in Q2 2024 (a decline of 51.3%).
- Business Quant data shows PDYN's Total Current Liabilities at $6.42 million (Q1 2026), $5.67 million (Q4 2025) and $4.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 10.57 Bn | 5.60 Bn | -5.00 Mn | 110.00 Mn |
| 2 | Mobileye Global | 6.38 Bn | 273.40 Mn | 235.00 Mn | 452.00 Mn |
| 3 | Pony AI | 3.01 Bn | 3.08 Bn | 6.35 Mn | 77.58 Mn |
| 4 | WeRide | 1.89 Bn | -1.13 Bn | 12.76 Mn | 4.65 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | 6.37 Mn |
| 6 | Kodiak AI | 440.77 Mn | -67.35 Mn | - | 28.28 Mn |
| 7 | Serve Robotics | 383.18 Mn | 383.18 Mn | -8.78 Mn | 19.27 Mn |
| 8 | Richtech Robotics | 352.29 Mn | 352.29 Mn | 802,000.00 | 3.68 Mn |
| 9 | ECARX Holdings | 350.87 Mn | -10.95 Mn | 44.50 Mn | 968.55 Mn |
| 10 | Palladyne AI | 259.48 Mn | 67.85 Mn | 1.68 Mn | 8.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.26 Mn |
| Mar 31, 2026 | 6.42 Mn |
| Dec 31, 2025 | 5.67 Mn |
| Sep 30, 2025 | 4.46 Mn |
| Jun 30, 2025 | 3.84 Mn |
| Mar 31, 2025 | 3.14 Mn |
| Dec 31, 2024 | 4.43 Mn |
| Sep 30, 2024 | 4.92 Mn |
| Jun 30, 2024 | 4.72 Mn |
| Mar 31, 2024 | 5.22 Mn |
| Dec 31, 2023 | 8.46 Mn |
| Sep 30, 2023 | 7.95 Mn |
| Jun 30, 2023 | 9.69 Mn |
| Mar 31, 2023 | 9.40 Mn |
| Dec 31, 2022 | 10.53 Mn |
| Sep 30, 2022 | 9.84 Mn |
| Jun 30, 2022 | 9.78 Mn |
| Mar 31, 2022 | 5.50 Mn |
| Dec 31, 2021 | 6.16 Mn |
| Sep 30, 2021 | 4.73 Mn |
API Access
Palladyne AI Total 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-current-liabilities&ticker=PDYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PDYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();