
Incorporated in 2010, Pune-based Krsnaa Diagnostic provides a range of technology enabled diagnostic services such as imaging (including radiology), clinical laboratory tests, pathology and tele-radiology to public and private hospitals, medical colleges and community health centres across India. These services and tests are used for prediction, early detection, diagnostic screening, confirmation or monitoring of diseases. The company runs one of India’s largest tele-radiology reporting hubs which is located in Pune. This hub processes large volumes of X-rays, CT and MRI scans, allowing it to serve patients in remote locations where diagnostic facilities are limited. Since its inception, the diagnostic company has catered to 23 million patients. Krsnaa Diagnostic primarily focuses on the public private partnership (PPP) diagnostic segment, which contributes 67% of the total revenue. It usually enters into long-term PPP agreements which provide predictability of revenue. The company has opened 1,797 diagnostic centres in partnership with public agencies. Besides this, it is also increasing its collaboration with private healthcare players. This segment currently contributes around 33% of the revenue. After making losses in FY19 and FY20, the company posted a profit of ₹184 crore in FY21. Meanwhile, between FY19 and FY20, the company’s revenue has grown at a CAGR of 37.5%.
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| Investor Type | Min Lots | Min Shares | Min Amount | Max Lots | Max Amount | Notes |
|---|---|---|---|---|---|---|
| Retail | 1 | 15 | ₹14,310 | 13 | ₹186,030 | ≤ ₹2,00,000 |
| sHNI (Small HNI) | 14 | 210 | ₹200,340 | 69 | ₹987,390 | ₹2L – ₹10L |
| bHNI (Big HNI) | 70 | 1050 | ₹1,001,700 | 75 | ₹1,073,250 | > ₹10L |
| Category | Reservation | Shares Offered | Amount (₹ Cr) | Shares Bid | Subscribed | Allotment % |
|---|---|---|---|---|---|---|
| QIB | 50% | 6,428,193 | 606.5 | 0 | 0.00x | 100% |
| NII | 15% | 1,928,458 | 181.95 | 0 | 0.00x | 100% |
| Retail | 35% | 4,499,735 | 424.55 | 0 | 0.00x | 100% |
Retail is a lottery-based allotment when oversubscribed; QIB/NII get pro-rata. Probability ≈ 1 / subscription times (100% if under-subscribed).