Based our analysis and observation, there is 55.44% chance that the price of Pertronix LU-165 Lucas 6 Cylinder Ignitor will increase. Price of product might fluctuate between 37% and 41% of current price.*
Price History Graph
Offer PricePrices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of Pertronix LU-165 Lucas 6 Cylinder Ignitor here. This product's current Price in USA is $165.24. The average and highest prices are $158.88 and $198.99 respectively.
Lowest Ever Price
$147.45
23rd Mar 2026
Average Price
$158.88
Based on 141 days price tracking
Highest Price
$198.99
26th May 2026
Current Price in USA
Price
$165.24
Recent Price Drops on Pertronix LU-165 Lucas 6 Cylinder Ignitor
Price Drop10th Jun 2026
$198.99→$148.72
25.26% drop
Price Drop22nd Mar 2026
$158.05→$147.45
6.71% drop
Product Information
Details
Product Name
Pertronix LU-165 Lucas 6 Cylinder Ignitor
Store Product Code
B001CMZ6WM
Store Name
amazon.com
Brand
Pertronix
Rating
7.4 / 10
Category
Igniters
Product Manufacturer
Pertronix
Model Number
LU-165
Model Number
LU-165
Dimensions
6.12 x 4.75 x 1.5 inches
Features
Delivers twice the voltage to the spark plugs when used with Pertronix Flame-Thrower coils, increasing horsepower, fuel economy, and spark plug life.
Two to one (2:1) improvement over points in current fall time, increasing coil output. Optimal performance achieved when used with our Flame-Thrower coils (P/Ns 40501, 40511, 40601, 40611)
Rotating cobalt magnets trigger a Hall Effect integrated circuit -- no points to burn and no moving parts to wear out
Helps maintain stable timing -- no need for any adjustments
Epoxy molding makes our module impervious to dirt, oil, grease and moisture
Images
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Rating and Reviews
7.4Based on 3 reviews
Pertronix LU-165 Lucas 6 Cylinder Ignitor has 7.4 rating out of 10. This average rating is consist of 3 individual ratings. You can rate this product at product review page.
* Predictions is created on based of past prices and trends, it does not guarantee that it will happen. These are just prediction for theoretical information only.