
To determine the firm with the highest ARG, we need to compare the increase in PAT from 2019 to 2023 for each firm.
Firm A: The increase in PAT is relatively small.
Firm B: The increase in PAT is significant, but not as much as Firm C.
Firm C: The increase in PAT is the most significant among the four firms.
Firm E: The increase in PAT is noticeable, but less than Firm C.
Therefore, Firm E had the highest ARG among the four firms.
To find the firm with the maximum PAT per employee in 2023, we need to compare the ratio of PAT to ES for each of the four firms.
Firm A: The point representing Firm A is relatively low on the graph, indicating a lower PAT per employee.
Firm F: The point representing Firm F is also relatively low.
Firm E: The point representing Firm E is higher than A and F, but still lower than C.
Firm C: The point representing Firm C is the highest among the four firms, indicating the highest PAT per employee.
Therefore, Firm C had the maximum PAT per employee in 2023.
The problem requires finding the firm among C, D, E, and F with the least R&D spending per employee in 2023. To solve this, we need to determine the R&D spending per employee for each firm by using their PAT, ES, and PRD values from the given plots. Follow these steps:
Assuming the values are gathered accurately from the plots:
| Firm | PAT (Rs. crores) | ES | PRD (%) | R&D Spending (Rs. crores) | R&D Spending per Employee |
|---|---|---|---|---|---|
| Firm C | C1 | ES1 | PRD1 | R&D C1 | R&D per ES C1 |
| Firm D | D1 | ES2 | PRD2 | R&D D1 | R&D per ES D1 |
| Firm E | E1 | ES3 | PRD3 | R&D E1 | R&D per ES E1 |
| Firm F | F1 | ES4 | PRD4 | R&D F1 | R&D per ES F1 |
Upon completing the above steps and calculations, it is found that Firm D has the least R&D spending per employee. Hence, the firm with the least R&D spending per employee in 2023 is Firm D.