No tenant complaints were produced regarding parking shortages due to mechanical bay issues. [28] Third, the Learned Judge properly held that even if loss of income had been proven (which it was not), Image Parking would only be entitled to 5% of such loss based on the profit-sharing formula in the contract, not the 100% claimed. This finding accurately reflects the clear terms of the agreement between the parties. [29] While the Learned Judge did award RM306,240 regarding the mechanical bays, this was explicitly based on a compromise agreement between the parties rather than any proven loss during unlicensed periods. This distinction is important and was correctly drawn by the learned trial judge. [30] Be that as it may, this has been overtaken by events as the concession by Image Parking on this sum had already been made. [31] The totality of evidence amply supports His Lordship's conclusion that no compensable loss of profits occurred during the unlicensed periods. [32] We find no error in either the reasoning or the conclusion reached on this issue. The Issue of Image Parking Being Entitled to a Return of the Access Payment Made as a Result of the Shortfall of Occupancy Rates [33] Their main argument of claiming a refund amounting to RM1,260,000 being the sum due to them as the occupancy rates were below 80% during the contract period. [34] Image Parking claims that the average occupancy rate for the five blocks of buildings remained between 50-70% during the period of 2013 to September 2019, falling below the 80% threshold specified in the contract. [35] On this basis, Image Parking seeks a refund and readjustment of RM1,260,000, calculated at RM21,000 per month over 60 months, arguing that the rental payments should have been proportionately reduced to reflect the actual occupancy rates. [36] Image Parking further contends that Koperasi Felda failed to provide requisite information on occupancy rates, thereby impeding their ability to properly assess and adjust the rental payments. [37] To support their position, Image Parking relies on occupancy calculations performed by Henry Butcher, the property manager, which allocated equal weightage to office and retail spaces in determining overall occupancy rates. These contentions raise significant questions about the proper interpretation of the contractual provisions relating to occupancy rates and the corresponding obligations of both parties. [38] We perused the Grounds of Judgement carefully to examine the basis of denying Image Parking's claim. [39] The appeal centres on the interpretation of clauses 1(b) and 1(c) of the Letter of Award dated 27.9.2012 and the method of computing occupancy rates. The High Court Analysis [40] The Learned Judge meticulously analyzed the contractual provisions regarding occupancy rates. The contract stipulated in clause 1(b) that "the fixed rental payable shall be on a proportionate basis and in accordance to the physical occupancy of the complex and upon reaching 80% physical occupancy, full rental shall be payable accordingly." Clause 1(c) further provided that if occupancy fell below 40%, the rental would be renegotiated. [41] The Learned Judge found that while the contract required physical occupancy to be determined on the 1st day of each month, it did not define how physical occupancy rates were to be computed or who would determine it. This created a necessity to examine the proper method of computation. Rejection of Image Parking's Calculation Method [42] The Learned Judge rejected the calculation method employed by Image Parking through Henry Butcher's computation for several cogent reasons: [43] First, the method gave equal weightage to office and retail units despite significant differences in their built-up areas and total numbers. The Learned Judge noted that Block E alone had office units averaging 57,000 square feet each, while units in other blocks were only 1,000 to 1,500 square feet. [44] Second, the method failed to account for the disproportionate ratio between office and retail units. There were substantially more office units with higher occupancy rates (79-92%) compared to retail units with lower occupancy (45-65%). [45] Third, and most critically, the Learned Judge found that computing occupancy rates by simply averaging the percentage of occupied office units with occupied retail units produced mathematically unsound results. The Learned Judge illustrated this through a hypothetical example where a 100-storey building with 99% occupied office floors and 0% occupied retail floor would yield an artificial 49.5% occupancy rate despite 99% of the total area being occupied. Evidence of Number of Units as Measure of Occupancy [46] The Learned Judge rejected Image Parking's unit-based calculation method after a thorough analysis. The Learned Judge found that for a car parking contract, physical occupancy must be assessed by total floor space occupied, not number of units, for three key reasons: first, the numbers of cars using parking bays depend on persons occupying the buildings; second, this occupancy is proportionate to built-up floor areas occupied; and third, where unit sizes vary significantly (as in Southgate), number of units is not a proper criterion for assessment. [47] The specific problems with unit-based calculation at Southgate were particularly illuminating. The court noted that Block E office units were approximately 57,000 square feet each - more than ten times larger than units in other blocks. The Learned Judge found it was "incorrect and improper to give an office unit the same weightage as another office unit which is more than 10 times its size." This size disparity made unit counting fundamentally problematic for accurate occupancy assessment. [48] The Learned Judge demonstrated the mathematical flaws through a detailed analysis of August 2016 data. Using Henry Butcher's unit count showed 239 occupied office units out of 261 and 56 occupied retail units out of 94, yielding a total of 295 occupied units out of 355, or 83% occupancy. Yet Henry Butcher reported only 76% occupancy due to their averaging method. This discrepancy conclusively demonstrated the unreliability of the unit-based approach. [49] In place of the unit based methodology, the Learned Judge outlined that proper occupancy calculation must follow four essential steps: first, ascertain built-up areas of various units; second, calculate total built-up floor areas of all units; third, calculate total built-up floor areas of occupied units; and finally, apply the formula: (Total floor area of occupied units ÷ Total floor area of all units) × 100%. [50] The Learned Judge's rejection of the unit-based calculation rested on three fundamental conclusions: it failed to account for significant size differences between units, it particularly undervalued Block E's contribution to occupancy given its substantially larger unit sizes, and most importantly, it was fundamentally unsuitable for determining actual physical occupancy for car park operation purposes. Henry Butcher's Evidence and Monthly Meetings [51] The Learned Judge made significant observations regarding Henry Butcher's evidence. The court noted that both PW2 (Aqilah) and PW5 (Chen Woei Guang) admitted they had never seen the Letter of Award before the trial and were entirely unfamiliar with the terms of the Carpark Contract. Most notably, PW5 Chen initially conceded during examination on January 11, 2022, that Henry Butcher's computation of occupancy rates was unsuitable for car park contract purposes and could only be used for Joint Management Committee purposes. Though PW5 later attempted to affirm his colleague's method when recalled as a witness, the Learned Judge found this to be "an afterthought for saving the face of his company or to cover his colleague's error in computation." [52] The Learned Judge scrutinized the reliability of Henry Butcher's data collection and computation methods. While accepting that their "moving in" and "moving out" records correctly documented the number of units occupied, the Learned Judge identified multiple fundamental flaws in their method of computing percentage occupancy, including: