While robot calibration is crucial for performing high-precision tasks, traditional calibration methods are time-consuming and resource-intensive. Within the constraints of industrial settings, extensive calibration requirements call for alternative methods that minimize the implementation costs while maintaining acceptable accuracy levels. This paper investigates the feasibility of transferring compliance error compensation parameters among articulated robots of the same model in contact-based applications. Experimental results demonstrate the feasibility of the transferability, achieving significant error reduction with a modest performance decrease compared to individual robot calibration. This approach offers a promising avenue for balancing calibration effort with the specific application requirements.