Parkervision (PRKR) Long-Term Debt Repayments (2010 - 2026)
Parkervision's Long-Term Debt Repayments was $36,000 in Q2 2026, up 5.9% from $34,000 a year earlier but down 58.1% from the prior quarter.
Parkervision (PRKR) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Parkervision's Long-Term Debt Repayments was $154,000 through Jun 30, 2026, up 2.0% year-over-year; for FY2025, it came in at $100,000, down 50.0% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -39.9% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $200,000 in FY2024 (-98.6%), $13.93 million in FY2023, $91,000 in FY2022 (-9.0%) and $100,000 in FY2021 (-92.1%).
- Quarterly Long-Term Debt Repayments has moved between -$4,000 (Q4 2025) and $13.88 million (Q2 2023) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in four of the last five quarters, with growth averaging 21.6%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2026 (growth of 152.9%); the worst was Q2 2024 (a decline of 99.4%).
- Per Business Quant data, PRKR's Long-Term Debt Repayments in the three quarters before Q2 2026 was $86,000 (Q1 2026), -$4,000 (Q4 2025) and $36,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | -1.58 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 5.63 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 4.75 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 7.50 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | - |
| 10 | Parkervision | 13.34 Mn | 13.34 Mn | -35,000.00 | 36,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36,000.00 |
| Mar 31, 2026 | 86,000.00 |
| Dec 31, 2025 | -4,000.00 |
| Sep 30, 2025 | 36,000.00 |
| Jun 30, 2025 | 34,000.00 |
| Mar 31, 2025 | 34,000.00 |
| Dec 31, 2024 | 49,000.00 |
| Sep 30, 2024 | 34,000.00 |
| Jun 30, 2024 | 84,000.00 |
| Mar 31, 2024 | 33,000.00 |
| Jun 30, 2023 | 13.88 Mn |
| Mar 31, 2023 | 42,000.00 |
| Dec 31, 2022 | 21,000.00 |
| Sep 30, 2022 | 24,000.00 |
| Jun 30, 2022 | 22,000.00 |
| Mar 31, 2022 | 24,000.00 |
| Dec 31, 2021 | 33,000.00 |
| Sep 30, 2021 | 22,000.00 |
| Jun 30, 2021 | 23,000.00 |
| Mar 31, 2021 | 22,000.00 |
Parkervision Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PRKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();