Parkervision (PRKR) Operating Expenses (2010 - 2026)
Parkervision (PRKR) recorded Operating Expenses of $1.51 million in Q2 2026, down 60.6% from $3.84 million a year earlier but up 58.0% from the prior quarter.
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Analysis
Parkervision (PRKR) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Parkervision's Operating Expenses came in at $4.99 million as of Jun 30, 2026, down 36.7% year-over-year; for FY2025, it came in at $7.61 million, up 78.5% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $4.26 million in FY2024 (-71.1%), $14.74 million in FY2023 (+89.7%), $7.77 million in FY2022 (-3.9%) and $8.09 million in FY2021 (-24.2%).
- Quarterly Operating Expenses has ranged from $630,000 in Q4 2023 to $12.09 million in Q1 2023 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for three consecutive quarters, with growth averaging 80.9% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 525.2% in Q1 2023, against a decline of 93.6% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $958,000 (Q1 2026), $1.02 million (Q4 2025) and $1.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Parkervision | 13.34 Mn | 13.34 Mn | -35,000.00 | 1.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.51 Mn |
| Mar 31, 2026 | 958,000.00 |
| Dec 31, 2025 | 1.02 Mn |
| Sep 30, 2025 | 1.50 Mn |
| Jun 30, 2025 | 3.84 Mn |
| Mar 31, 2025 | 1.24 Mn |
| Dec 31, 2024 | 1.83 Mn |
| Sep 30, 2024 | 980,000.00 |
| Jun 30, 2024 | 683,000.00 |
| Mar 31, 2024 | 773,000.00 |
| Dec 31, 2023 | 630,000.00 |
| Sep 30, 2023 | 904,000.00 |
| Jun 30, 2023 | 1.13 Mn |
| Mar 31, 2023 | 12.09 Mn |
| Dec 31, 2022 | 2.51 Mn |
| Sep 30, 2022 | 1.68 Mn |
| Jun 30, 2022 | 1.65 Mn |
| Mar 31, 2022 | 1.93 Mn |
| Dec 31, 2021 | 1.94 Mn |
| Sep 30, 2021 | 2.02 Mn |
API Access
Parkervision Operating Expenses 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=operating-expenses&ticker=PRKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();