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We want to help you find the perfect car that fits your budget. Please adjust the options below so we can estimate the most accurate monthly payments.
Rates and scores are only an estimate and can change based on the current Federal Prime Rate

Estimated Credit Score or Interest Rate

11.9% Very Poor < 600
10.65% Poor 600-679
9.4% Fair 680-719
8.15% Good 720-780
6.9% Excellent > 780

Desired Loan Term (months)

48
60
72

How much will you put down?

All tax, title and vehicle registration fees are additional. See dealer for complete details.
1600 9th Avenue SE
Watertown, SD
(605) 886-5844 Hours

148 Used Cars in Watertown SD

2016_Bobcat_No Model__ Watertown SD
Call For Price
$0/month*
2016 Bobcat No Model
#M0502B198 mi
#M0502B
Call For Price
$0/month*
2023_Bobcat_T650__ Watertown SD
Call For Price
$0/month*
2023 Bobcat T650
#M0513A146 mi
#M0513A
Call For Price
$0/month*
2021_Ferris_400s_Mower_ Watertown SD
Call For Price
$0/month*
2021 Ferris 400s Mower
#M0324A86 mi
#M0324A
Call For Price
$0/month*
2023_Bobcat_T66__ Watertown SD
Call For Price
$0/month*
2023 Bobcat T66
#M0499A75 mi
#M0499A
Call For Price
$0/month*
2024_Bobcat_T650__ Watertown SD
Best Price:
$67,100
$1364/month*
2024 Bobcat T650
#M0492A20 mi
#M0492A
Best Price:
$67,100
$1364/month*
2023_No Make_No Model__ Watertown SD
Call For Price
$0/month*
2023 No Make No Model
#M042410 mi
#M0424
Call For Price
$0/month*
2024_Bobcat_T650__ Watertown SD
Best Price:
$66,100
$1343/month*
2024 Bobcat T650
#M0493A1 mi
#M0493A
Best Price:
$66,100
$1343/month*
2023_Vintage_OL830G__ Watertown SD
Best Price:
$39,990
$796/month*
2023 Vintage OL830G
#A4029M
#A4029M
Best Price:
$39,990
$796/month*
Didn't find the right fit?
Just let us know what you're looking for and we'll email you as soon as it arrives!
*These estimates reflect new EPA methods beginning with 2008 models. Your actual mileage will vary depending on how you drive and maintain your vehicle. Actual mileage will vary with options, driving conditions, driving habits and vehicle's condition. Mileage estimates may be derived from previous year model.