Parkervision (PRKR) Total Liabilities (2009 - 2026)
Parkervision's Total Liabilities came in at $46.26 million for Q3 2026, down 10.6% from $51.72 million a year earlier and down 4.2% from the prior quarter.
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Analysis
Parkervision (PRKR) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Parkervision's Total Liabilities was $50.46 million, down 3.5% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $52.29 million in FY2024 (+20.1%), $43.54 million in FY2023 (-17.0%), $52.44 million in FY2022 (+8.8%) and $48.22 million in FY2021 (-0.1%).
- The Q3 2026 figure represents the lowest quarterly Total Liabilities since Q2 2024.
- Year-over-year, Total Liabilities has declined for five consecutive quarters, with growth averaging 4.7% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2025 (growth of 25.0%), and the weakest in Q2 2023 (a decline of 18.5%).
- Business Quant data shows PRKR's Total Liabilities at $48.29 million (Q2 2026), $50.03 million (Q1 2026) and $50.46 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 55.89 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 95.92 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 91.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 88.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 57.51 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 26.42 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 36.36 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 97.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 19.29 Bn |
| 10 | Parkervision | 10.45 Mn | -1.48 Mn | -33,000.00 | 46.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.26 Mn |
| Jun 30, 2026 | 48.29 Mn |
| Mar 31, 2026 | 50.03 Mn |
| Dec 31, 2025 | 50.46 Mn |
| Sep 30, 2025 | 51.72 Mn |
| Jun 30, 2025 | 51.41 Mn |
| Mar 31, 2025 | 53.94 Mn |
| Dec 31, 2024 | 52.29 Mn |
| Sep 30, 2024 | 52.13 Mn |
| Jun 30, 2024 | 42.57 Mn |
| Mar 31, 2024 | 43.16 Mn |
| Dec 31, 2023 | 43.54 Mn |
| Sep 30, 2023 | 43.49 Mn |
| Jun 30, 2023 | 40.73 Mn |
| Mar 31, 2023 | 52.45 Mn |
| Dec 31, 2022 | 52.44 Mn |
| Sep 30, 2022 | 48.81 Mn |
| Jun 30, 2022 | 49.97 Mn |
| Mar 31, 2022 | 45.96 Mn |
| Dec 31, 2021 | 48.22 Mn |
API Access
Parkervision 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=PRKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PRKR", "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=PRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();