Features: 

*100% brand new and high quality.

*Made of high quality material, durable and practical to use.

*Fits models: K1, K 1400-4F-TR, Foam and maintain nozzle packaged 0,6 l, Chassis cleaner, Adapter B, Foam nozzle packaged 0,3 l, Chassis cleaner, Brush best, Foam nozzle Top, Chassis cleaner packaged, Brush lengthwise Good, Jet pipe VP 034, Elbow jet pipe, CAR CLEAN-KIT, K2.01, K 1.10,  0295, K2.02 PLUS, K1.10 TV,  0295 Clas.Line verpackt, K2.050, K1.22H,  flexible, K2.070, K1.302-PL, Foam and maintain nozzle with cleaning a, K2.08D, K101-WB-TV, Jet pipe extension, K2.100, K110, Jet pipe extension 0,4m, K2.100 DAKAR 2012 220V, K110 B, Jet pipe extension packaged 1,7m, K2.110 M Plus VPS, K110 TV, Jet pipe flexible, K2.120, K111 A, Jet pipe VP 037, K2.125, K112 H, K1300 Plus, K2.125, K1400-4F-WB, K1350 PLUS -WB, K2.129, K2 Premium, K140 (26065090), K2.130, K2.00, K2, K2.14, Set motorbike cleaning, K2.00MB-PLUS-2F, K2.14 Plus, T250 appliances supplement nozzles blac, KB802 C, K2.14 WB, T300, Multi-Power-Jet packaged 0295, K2.140, T400, Multi-Power-Jet packaged 035, K2.15 Deluxe, T400 Plus, PS40 power swab packaged, K2.150 Deluxe, T50 appliances supplement, PS40 Powerschrubber Gerätebeilage, K2.16, T80 appliances supplement, T100 without packing, K2.16, T80 appliances supplement, K209 PLUS, K2.16 WB, T200, Set winter garden, K2.19, T250 T-Racer

pecifications:

*Fitment: For Karcher Fits the Following Models

K 1 K 1400-4F-TR K 2 K 2 Compact K 2.09M K 2.09M-PLUS-2F K 2.850 K 4 Compact K 4 Full K 4 Premium K 5 Compact K 5 Premium K 7 Compact K 7 Premium K3 K4 K5 K7 WV5 Plus WV5 Premium WV50 WV50 Plus WV51 Plus WV52 Plus

*Color: As Pictures Show

*Size: As Pictures Show

Package Contents:

4 x nozzles+ 4 x Large Washer + 4 x Medium Washer + 4 x Small Washer +2 x Red washer + 2 x Black washer

Note:

1. The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.

2. Please allow slight manual measurement deviation for the data.