SKU: 10232906849

Teryx 2/4 800 KFI Winch Mount (101945)

Sale price$62.09 Regular price$68.99
Save 10%

Pay in installments of $17.25 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 30 - Aug 4

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Teryx 2/4 800 KFI Winch Mount (101945)Teryx 2 4 KFI Winch Mount Features Plate constructed of 3 16" steel Fairlead bracket constructed of 1 4" steel Metal bead blasted before powder coated for the best possible finish prep and durability Very easy to install Complete installation instructions and mounting hardware included 100% made in USA Roller fairlead and winch not included. Designed to work with the following winches: KFI: ST17 A2000 A2500 R2 A3000 U45 R2 U45w R2 SE25 SE35 SE45 R2

Teryx 2/4 KFI Winch Mount

Features

  • Plate constructed of 3/16" steel
  • Fairlead bracket constructed of 1/4" steel
  • Metal bead blasted before powder coated for the best possible finish prep and durability
  • Very easy to install
  • Complete installation instructions and mounting hardware included
  • 100% made in USA
  • Roller fairlead and winch not included.
  • Designed to work with the following winches:
  • KFI: ST17 / A2000 / A2500-R2 / A3000 / U45-R2 / U45w-R2 / SE25 / SE35 / SE45-R2 / SE45w-R2 (U45w-R2 and SE45w-R2 will NOT work on 2014-19 models)
  • KFI: AM-25 / AM-35 / AS-25 / AS-35 / AS-50 / AS-50w
  • WARN: A2000 / A2500 / U2500 / 1.5ci / 2.5ci / 2.5ce / 3.0ci / 3.0ce / 3.0s
  • WARN: RT15 / RT25 / RT30 / XT15 / XT25 / XT30 / RT40 / XT40
  • WARN: Vantage 2000-3000 lb (will NOT work with Vantage 4000 due to motor lead orientation)
  • WARN: ProVantage 2500-4500 lb (ProVantage 3500 and 4500 will require lead rotation)
  • RAMSEY: ATV2500 / ATV3000
  • SUPERWINCH: Terra25 / Terra35 / Terra45 / Terra 2500 (SR) / Terra 3500 (SR) / Terra 4500 (SR) / A3500 / LT2000 / UT3000 / LT2500 / LT3000 / LT4000 (SR) / LT4000ATV / LT4000UTV
  • MILE MARKER: PE2.5 / PE 3.5 / VMX2.5 / PE2000 / PE3000 / PE2500 / PE3500
  • MASTER LOCK: 1500lbs #2955AT requires roller fairlead with a 4.875" bolt pattern
  • CYCLE COUNTRY: Work Power 1500 and 2500 / Powermax 2500 and 3500
  • BADLAND, CHAMPION: 2-hole, standard, and wide winches
  • KEEPER CORP. TRAKKER: KT2500 / KT3000 / KT2500C / KT3000C / KT4000 / KT4000C
  • KEEPER CORP. TRAKKER: KT2000 requires roller fairlead with a 4.875" bolt pattern
  • SMITTYBILT: XRC 2.0 requires roller fairlead with a 4.875" bolt pattern
  • SMITTYBILT: XRC 3.0 / XRC 4.0
  • XGEAR: X3000 / X4000 4-hole standard (3.00" x 4.875" bolt pattern)
  • VENOM: 2000 / 2500 / 3000 / 3500 / 4000 / 4500 / 5000 (hardcore series) with 3.00" x 4.875" or 3.00" x 6.600" bolt pattern mount-up
  • Traveller: 1078311 (1078311 will NOT work on 2014-2015 models)
  • Traveller: 1078088 / 1078302 require roller fairlead with a 4.875" bolt pattern
  • QUADBOSS: RP25 / RP35
  • Possibly many others with standard mounting pattern of 4-hole 3.00" x 4.875" bolt pattern with rollers that are 5.876" bolt pattern, 4-hole wide 3.00" x 6.60" bolt pattern, or 2-hole 3.10” with rollers that are 4.875” bolt pattern

FITMENT:

2014-2023 Kawasaki KRF 800 Teryx - -
2014-2021 Kawasaki KRT 800 Teryx4 - -
2012-2013 Kawasaki KRT 750 Teryx4 4x4 - -
2012-2013 Kawasaki KRT 750 Teryx4 EPS 4x4 - -
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 10232906849

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.1 ★★★★★
Based on 13 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
R
Verified Purchase
R. Cote
Belleville, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Lake Worth, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025
T
Verified Purchase
Thomas
Lexington, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2024
L
Verified Purchase
La Monte HP Yarroll
Dallas, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 13, 2025
R
Verified Purchase
3rd Act
Bozeman, US
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 7, 2024

recommand products