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Abha Power and Steel IPo

Abha Power and Steel IPo

smelisted
Registrar: Skyline Financial Services Private Ltd · Listing 2024-12-04
IPO Timeline
Today · 20 Oct 2026
Opens
27 Nov 2024
Closes
29 Nov 2024
Allotment
02 Dec 2024
Refund
03 Dec 2024
Demat
03 Dec 2024
Listing
04 Dec 2024
Price Band
₹75–75
GMP
₹0
0%
Lot Size
1600 Shares
Min ₹120,000
Subscription
0x
Issue Size
₹38 Cr
Open
2024-11-27
Close
2024-11-29
Listing
2024-12-04

About the company

Abha Power and Steel is a key player in the iron and steel foundry industry, based in Bilaspur, Chhattisgarh. Established in 2004, the company specializes in custom castings across grades like mild steel, SGCI, manganese steel, and high alloys. It produces castings from 0.5 kg to 6 tonnes for industries like railways, steel, cement, mining, and power. Operating two advanced foundries across 319,200 sq. ft., it exports to the UAE, Germany, Canada, and Italy. With a 2.99 MW solar plant and strategic location, it focuses on sustainability and cost efficiency, serving loyal domestic and global clients.

GMP trend (Grey Market Premium by date)

Today₹0 (0%)
High₹0
Low₹0
Est. Listing₹75
DateGMP (₹)Est. ListingChange
25 Aug₹0₹750
24 Aug₹0₹750
23 Aug₹0₹750
22 Aug₹0₹750
21 Aug₹0₹750
20 Aug₹0₹750
19 Aug₹0₹750
18 Aug₹0₹750

Strengths

  • Experienced Healthcare Management: Led by a doctor-driven management team with experience in hospital operations and healthcare services.
  • Established Hospital Presence: The company has an established healthcare business with a track record of operating and financial growth.
  • Diversified Specialties: Operations across multiple clinical specialties help reduce dependence on a single healthcare segment.
  • Experienced Medical Team: The company focuses on attracting and retaining experienced doctors and clinical professionals to support quality patient care.

Risks

  • High Debt Levels: The company has significant borrowings, which can increase financial costs and pressure cash flows.
  • Intense Competition: Competition from established hospitals and healthcare providers could affect patient volumes, pricing and profitability.
  • Doctor Dependence: The business depends heavily on experienced doctors and medical professionals, making retention of key clinicians important.
  • Regulatory Risk: Hospitals are subject to extensive healthcare, safety, medical and regulatory requirements, and changes in regulations could increase costs.
  • Patient Concentration Risk: Changes in patient volumes, treatment preferences or the ability of patients to pay could affect revenue and cash flows.

Financial performance (₹ Cr)

IPO Roadmap / Timeline

Current Status · as of 20 Oct 2026
Listed
Listed on 04 Dec 2024
Listed 685 days ago
  1. IPO Opens

    Completed
    27 Nov 2024

    Bidding starts for all investor categories

  2. IPO Closes

    Completed
    29 Nov 2024

    Last day to place your bid

  3. Basis of Allotment

    Completed
    02 Dec 2024

    Share allotment finalised

  4. Refund Initiation

    Completed
    03 Dec 2024

    Refunds credited for non-allottees

  5. Credit to Demat

    Completed
    03 Dec 2024

    Allotted shares credited to demat account

  6. Listing on Exchange

    Completed
    04 Dec 2024

    Shares list on NSE / BSE

Post-close dates are indicative as per SEBI T+3 listing framework and may change per registrar updates.

Lot size & minimum investment

Lot Size
1600 shares
Price / Share (upper)
₹75
Min Investment (1 lot)
₹120,000
Price Band
₹75–75
Retail / Individual
1 lot only
Min lots
1
Min shares
1600
Min amount
₹120,000
Max amount
₹120,000
HNI
Min 2 lots
Min lots
2
Min shares
3200
Min amount
₹240,000
Max amount
₹240,000

Shares reserved per category & allotment probability

QIB
100% allotment
Reservation
50%
Amount
₹19 Cr
Shares offered
2,533,334
Shares bid
0
Subscribed
0.00x
NII
100% allotment
Reservation
15%
Amount
₹5.7 Cr
Shares offered
760,000
Shares bid
0
Subscribed
0.00x
Retail
100% allotment
Reservation
35%
Amount
₹13.3 Cr
Shares offered
1,773,333
Shares bid
0
Subscribed
0.00x

Retail is a lottery-based allotment when oversubscribed; QIB/NII get pro-rata. Probability ≈ 1 / subscription times (100% if under-subscribed).