Based our analysis and observation, there is very negligible chances of price to increase or decrease, more likely ro remain constant based on our price historical data.*
Price History Graph
Offer PricePrices
Lowest: -
Average: -
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Price History Information
You can check the price history of Dorman 611-147 Wheel Nut M14-1.50 Standard - 22 mm Hex, 15.5 mm Length, 10 Pack Universal Fit here. This product's current Price in USA is $21.50. The average and highest prices are $21.50 and $21.50 respectively.
Lowest Ever Price
$21.50
27th Feb 2026
Average Price
$21.50
Based on 145 days price tracking
Highest Price
$21.50
27th Feb 2026
Current Price in USA
Price
$21.50
MRP
$39.59
Savings
$18.09
Discount
45.69%
Product Information
Details
Product Name
Dorman 611-147 Wheel Nut M14-1.50 Standard - 22 mm Hex, 15.5 mm Length, 10 Pack Universal Fit
Store Product Code
B001C0H4RO
Store Name
amazon.com
Rating
8.6 / 10
Category
Lug Nuts
Product Manufacturer
Dorman Products
Model Number
611-147
Color
Blue
Size
1.5 inches
Dimensions
3.63 x 2.38 x 2.19 inches
Features
Direct replacement - these wheel lug nuts are designed to match the fit, function and performance of the original equipment hardware on specified vehicles
Ensure fit - available in a variety of sizes and assortments, please check product dimensions and details to ensure you select the right wheel lug nut(s) for your application
Durable construction - designed and manufactured to strict specifications for reliable performance
Trustworthy quality - backed by a team of product experts in the United States and more than a century of automotive experience
Support available - every Dorman part is backed by Dorman's ASE Blue Seal Certified technical support team
Images
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Rating and Reviews
8.6Based on 6 reviews
Dorman 611-147 Wheel Nut M14-1.50 Standard - has 8.6 rating out of 10. This average rating is consist of 6 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.