ProtoKinetix, Inc. (PKTX) Operating Expenses (2014 - 2025)
ProtoKinetix's Operating Expenses came in at $119,988 for Q4 2025, up 17.0% from $102,512 a year earlier and up 41.3% from the prior quarter.
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Analysis
ProtoKinetix, Inc. (PKTX) Operating Expenses (2014 - 2025) Analysis & Trends
For FY2025, ProtoKinetix's Operating Expenses was $393,650, up 8.1% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -44.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $364,188 in FY2024 (-12.3%), $415,479 in FY2023 (-78.2%), $1.91 million in FY2022 (-18.1%) and $2.33 million in FY2021 (-69.5%).
- The Q4 2025 figure represents the highest quarterly Operating Expenses since Q4 2022.
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with an average decline of 1.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2022 (growth of 289.0%), and the weakest in Q1 2021 (a decline of 95.8%).
- Business Quant data shows PKTX's Operating Expenses at $84,906 (Q3 2025), $91,067 (Q2 2025) and $97,690 (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 119,988.00 |
| Sep 30, 2025 | 84,906.00 |
| Jun 30, 2025 | 91,067.00 |
| Mar 31, 2025 | 97,690.00 |
| Dec 31, 2024 | 102,512.00 |
| Sep 30, 2024 | 84,573.00 |
| Jun 30, 2024 | 85,076.00 |
| Mar 31, 2024 | 92,026.00 |
| Dec 31, 2023 | 112,472.00 |
| Sep 30, 2023 | 80,392.00 |
| Jun 30, 2023 | 115,577.00 |
| Mar 31, 2023 | 107,038.00 |
| Dec 31, 2022 | 583,657.00 |
| Sep 30, 2022 | 370,042.00 |
| Jun 30, 2022 | 442,153.00 |
| Mar 31, 2022 | 517,592.00 |
| Dec 31, 2021 | 394,154.00 |
| Sep 30, 2021 | 1.40 Mn |
| Jun 30, 2021 | 403,735.00 |
| Mar 31, 2021 | 133,074.00 |
API Access
ProtoKinetix, Inc. 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=PKTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PKTX", "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=PKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();