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 29 May result Q4 📉 BAD Results Summary...

 29 May result Q4

📉 BAD Results Summary

Company Key Issues
Sangam (India) Q4 Net Profit ₹94M vs ₹125M (YoY), only ₹5M QoQ
Arman Financial Services Q4 Net Profit ₹128M vs ₹508M (YoY)
Century Plyboards Q4 Net Profit ₹525M vs ₹795M (YoY)
Welspun Living Q4 EBITDA Margin 12% vs 15.3% (YoY); Profit ₹1.32B vs ₹1.46B
Landmark Cars Q4 Net Profit ₹14.22M vs ₹106M (YoY); QoQ also weak
Vishnu Prakash R Punglia Q4 Profit ₹162M vs ₹671.34M (YoY); Rev also down
Deepak Nitrite Profit down YoY ₹2B vs ₹2.54B
Bata India Profit down to ₹436M vs ₹602M (YoY)
Bharat Rasayan Profit halved to ₹285M vs ₹559M (YoY)
Madras Fertilizers Turned to loss ₹524.4M vs ₹883M profit (YoY)
Zuari Industries Continued loss: ₹207M vs ₹636M profit (YoY)
Gateway Distriparks ₹1.93B loss vs ₹565M profit (YoY)
Rico Auto Profit down to ₹73.6M vs ₹163M (YoY)
Rashtriya Chemicals & Fert. Net profit down: ₹726.5M vs ₹976.5M (YoY)
Varroc Engineering Profit fell to ₹206M vs ₹569M
DCM Shriram Industries Profit down to ₹237M vs ₹386M
Ola Electric Loss widened to ₹8.7B from ₹4.16B (YoY)

📈 GOOD Results Summary

Company Highlights
Goodyear India Turned profit ₹48.7M vs ₹42.1M loss (YoY); dividend ₹23.9/share
TGV SRAAC Profit up to ₹217M vs ₹72M; dividend ₹1/share
LIC Profit jumped to ₹190.4B vs ₹138B (YoY); beat estimate
Supriya Lifescience Profit ₹504M vs ₹369M (YoY)
Triveni Engineering Profit ₹1.87B vs ₹1.61B; dividend ₹2.5/share
Fermenta Biotech Profit ₹343.9M vs ₹69M loss (YoY)
Natco Pharma Profit ₹4.1B vs ₹3.86B
Finolex Cables Profit up ₹1.52B vs ₹1.46B (YoY)
Nahar Polyfilms Profit ₹131M vs ₹20M loss (YoY)
HeidelbergCement India Profit ₹504.5M vs ₹482M
RHI Magnesita India Profit ₹364M vs ₹2.3B loss (YoY)
HMA Agro Profit ₹132M vs ₹9M
Sobha Profit ₹408.6M vs ₹70M (YoY); revenue up
Engineers India Profit ₹3B vs ₹1.16B (YoY); revenue growth
Suzlon Energy Huge jump: ₹12B profit vs ₹2.5B (YoY); rev ↑ ₹38B
ICRA Profit ₹557.4M vs ₹468.7M; dividend ₹60/share
BAJAJ Auto Profit ₹20.5B vs ₹19.36B; dividend ₹210/share
IFB Agro Turned profit ₹6.3M vs ₹28M loss (YoY); EBITDA gain
MSTC Profit ₹755M vs ₹183M (YoY)
DEE Development Profit ₹315M vs ₹119M
Campus Activewear Profit ₹350M vs ₹327M
Bajaj Hindusthan Sugar Profit ₹2.2B vs ₹906M

 

Added: 2025-05-31 17:54:13 | Edited: 2025-05-31 18:05:09 | public
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📅 Today's Trade Summary – 29 May 2025 ...

📅 Today's Trade Summary – 29 May 2025

Symbol Qty Sell Price Buy Price (Avg) Buy Date Gain/Loss (Approx)
ASTERDM (NSE) 2 ₹549.30 ₹459.00 10 Feb 2025 ✅ +₹90.30 total
AUBANK (BSE) 1 ₹696.00 ₹484.00 18 Mar 2025 ✅ +₹212.00
GOLDBEES (EBSE) 1 ₹78.99 ₹60.00 24 Apr 2024 ✅ +₹18.99
TATASTEEL (NSE) 2 ₹162.70 ₹125.00 07 Apr 2025 ✅ +₹75.40 total
GMRAIRPORT (BSE) 1 ₹86.05 ₹68.00 24 Feb 2025 ✅ +₹18.05
POKARNA (NSE) 5 ₹1,072.75 ₹733.00 09 Apr 2025 ✅ +₹1,698.75 total
INDNIPPON (NSE) 2 ₹696.20 ₹548.00 17 Mar 2025 ✅ +₹296.40 total
CEINSYSTECH (BSE) 1 ₹1,556.00 ₹1,260.00 12 Mar 2025 ✅ +₹296.00
GRANULES (NSE) 2 ₹532.65 ₹428.00 09 Apr 2025 ✅ +₹209.30 total
ANGELONE (BSE) 2 ₹2,992.30 ₹2,364.00 14 Jan 2025 ✅ +₹1,256.60 total

🟢 Summary

  1. All trades resulted in profit ✅
  2. Excellent gains especially on Pokarna, AngelOne, and AUBank
  3. Strategic holding durations from Jan to May 2025 paid off well
Added: 2025-05-31 00:36:27 | Edited: 2025-05-31 18:02:45 | public
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https://www.youtube.com/watch?v=t-8NJXsw...
https://www.youtube.com/watch?v=t-8NJXswfgc Osra Hills, Shillong is safe or not- Not safe Not safe. Osra Hill, Shillong to Kamakhya Temple distance 134 KM
Added: 2025-05-30 22:34:06 | Edited: 2025-05-30 22:34:41 | public
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Bangalore temperature is chill so nice c...
Bangalore temperature is chill so nice cold - 20 to 25 centigrade
Added: 2025-05-29 08:35:29 | Edited: 2025-05-29 08:35:29 | public
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Bad result SUMITOMO CHEMICAL INDIA: Q4 ...
Bad result SUMITOMO CHEMICAL INDIA: Q4 CONS NET PROFIT 996M RUPEES VS 1.1B (YOY); 870M (Q0Q) |I Q4 REVENUE 6.79B RUPEES VS 6.74B (YOY) SAKSOFT: Q4 CONS NET PROFIT 300M RUPEES VS 232M (YOY) PUDUMJEE PAPER: Q4 SL NET PROFIT 188M RUPEES VS 374M (YOY) INSOLATION ENERGY: H2 CONS NET PROFIT 649M RUPEES VS 404M (YOY) RATEGAIN TRAVEL TECH: Q4 REVENUE 2.61B RUPEES VS 2.6B (YOY) STYLAM INDUSTRIES: Q4 SL NET PROFIT 290M RUPEES VS 376M (YOY) PANAMA PETROCHEM: Q4 CONS NET PROFIT 443M RUPEES VS 610M (YOY) PILANI INVESTMENT AND INDUSTRIES CORP: CO RECOMMENDED A DIVIDEND OF 15 RUPEES PILANI INVESTMENT AND INDUSTRIES CORP: Q4 SL NET PROFIT 179M RUPEES VS 297.8M (YOY); 268M Good result Glenmark Pharma: Q4 Cons Net Profit 46.5m Rupees Vs Loss 12.2b (Yoy); 3.5b (Qoq) I| Q4 Revenue 32.6b Rupees Vs 30.63b (Yoy) II Co Has Recommended Dividend Of 2.5 Rupees Per Equity Share Il Co Has An E. Kolte-patil Developers Ltd: Q4 Cons Net Profit 662m Rupees Vs Loss 261m (Yoy);profit 263m (Qoq) || Q4 Revenue 7.18b Rupees Vs Azad Engineering: Q4 SI Net Profit 260m Rupees Vs 149.3m (Yoy); 243m (Qoq) || Q4 Revenue 1.25b Rupees Vs 927.98m (Yoy) Jsw Steel: Q4 Cons Net Profit 15.03b Rupees Vs 13.22b (Yoy); Est 14.7b | 7.17b (Q0q) || Q4 Revenue 448.2b Rupees Vs 462.69b (Yoy); Est 449.8b || Co Has An Exceptional Item Gujarat Narmada Valley Fertilizers & Chemicals: Q4 SI Net Profit 2.1b Rupees Vs 1.3b (Yoy); 1.6b (Qoq) |I Q4 Revenue 20.6 Rupees Vs 21b (Yoy) I Co Has Recommended Dividend Of 18 Rupees BAYER CROPSCIENCE: Q4 SL NET PROFIT 1.4B RUPEES VS 960M (YOY); 342M (Q0Q) |I Q4 REVENUE 10.5B
Added: 2025-05-27 23:50:39 | Edited: 2025-05-27 23:50:39 | public
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Good to buy ASHOK LEYLAND: Q4 SL NET ...
Good to buy ASHOK LEYLAND: Q4 SL NET PROFIT 12.5B RUPEES VS 9B (YOY); EST 11.34B BEML: Q4 SL NET PROFIT 2.9B RUPEES VS 2.57B GE VERNOVA TD INDIA: Q4 EBITDA 2.5B RUPEES VS 1.1B (YOY) I| Q4 EBITDA GE VERNOVA TD INDIA: CO HAS RECOMMENDED DIVIDEND OF 5 RUPEES PER EQUITY SHARE FINOLEX INDUSTRIES: Q4 REVENUE 11.72B RUPEES VS 12.35B (YOY) NARAYANA HRUDAYALAYA: Q4 CONS NET PROFIT 1.97B RUPEES VS 1.91B GLENMARK PHARMA: Q4 CONS NET PROFIT 465M RUPEES VS LOSS 12.2B (YOY); J.K. CEMENT: Q4 EBITDA 7.64B RUPEES VS 5.6B (YOY) || J.K. CEMENT: Q4 CONS NET PROFIT 3.6B RUPEES VS 2.18B NTPC: Q4 SL NET PROFIT 57.78B RUPEES VS 55.56B Gujarat Narmada Valley Fertilizers & Chemicals: Q4 SI Net Profit 2.1b Rupees Vs 1.3b (Yoy); Jsw Steel: Q4 Cons Net Profit 15.03b Rupees Vs 13.22b Azad Engineering: Q4 SI Net Profit 260m Rupees Vs 149.3m (Yoy); Kolte-patil Developers Ltd: Q4 Cons Net Profit 662m Rupees Vs Loss 261m (Yoy);profit Glenmark Pharma: Q4 Cons Net Profit 46.5m Rupees Vs Loss 12.2b (Yoy); Very good TIMKEN INDIA: CO HAS RECOMMENDED DIVIDEND OF 36 RUPEES PER TIMKEN INDIA: Q4 SL NET 1h ago PROFIT 1.87B RUPEES VS 1.4B SHIV TEXCHEM: Q4 EBITDA 509.8M RUPEES VS 350.4M (YOY) FINOLEX INDUSTRIES: CO RECOMMENDED A FINAL DIVIDEND OF 2 RUPEES PER Not buy= FINOLEX INDUSTRIES: Q4 5m ago REVENUE 11.72B RUPEES VS 12.35B Not sure= DLF: CO WILL INVEST RS 10,000 CRORE IN THE CURRENT AND NEXT FISCAL YEAR TO BUILD PREMIUM OFFICE SPACES AND SHOPPING MALLS JSW STEEL: Q4 CONS NET PROFIT 15.03B RUPEES VS 13.22B (YOY); DOMESTIC AIR PASSENGER TRAFFIC SURGES 10% IN APRIL ICRA FORECASTS 7-10% GROWTH FOR FY26
Added: 2025-05-26 18:18:35 | Edited: 2025-05-26 18:18:35 | public
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Q1. Which Google Cloud service is best s...
Q1. Which Google Cloud service is best suited for relational databases with horizontal scaling and strong consistency? A. Cloud Storage B. Cloud Spanner C. BigQuery D. Datastore ✅ Answer: B. Cloud Spanner Q2. If you need to perform large-scale analytics on massive datasets using SQL, which service should you choose? A. Cloud SQL B. BigQuery C. Bigtable D. Cloud Functions ✅ Answer: B. BigQuery Q3. Which Google Cloud service is ideal for traditional relational databases like MySQL or PostgreSQL? A. Cloud SQL B. Spanner C. Bigtable D. Datastore ✅ Answer: A. Cloud SQL 2. Semi-structured data (Datastore and Bigtable) Q4. If you’re working with semi-structured data and want a NoSQL document database with high availability, which service should you use? A. Cloud SQL B. Datastore C. Spanner D. BigQuery ✅ Answer: B. Datastore Q5. Which Google Cloud service is a wide-column NoSQL database and is great for large-scale, low-latency workloads? A. Datastore B. Bigtable C. Cloud SQL D. BigQuery ✅ Answer: B. Bigtable 3. Unstructured data (Cloud Storage) Q6. You need to store videos, images, PDFs, or log files in the cloud. What service would you use? A. BigQuery B. Datastore C. Cloud Storage D. Spanner ✅ Answer: C. Cloud Storage Q7. Cloud Storage is best suited for: A. Analyzing SQL queries B. Storing structured relational data C. Hosting unstructured data like files D. Running large-scale applications ✅ Answer: C. Hosting unstructured data like files 4. Data warehouses vs. Data lakes Q8. What is the key difference between a data warehouse and a data lake? A. A data warehouse stores only unstructured data. B. A data lake is faster than a data warehouse. C. A data warehouse stores structured data, while a data lake stores all types of data. D. A data lake can only be used by data scientists. ✅ Answer: C. A data warehouse stores structured data, while a data lake stores all types of data.
Added: 2025-05-24 21:21:40 | Edited: 2025-05-24 21:21:40 | public
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Topic 1: Structured Data Databases Qu...
Topic 1: Structured Data Databases Question: If you need a fully managed relational database for highly structured data on Google Cloud, which service would you typically consider? a) Google Cloud Storage b) Google Cloud Spanner c) Google Cloud Bigtable d) Google Cloud Datastore Answer: b) Google Cloud Spanner (Cloud SQL is also an option for relational, but Spanner is known for highly scalable, globally distributed relational databases for structured data.) Topic 2: Semi-structured Data Databases Question: For handling large amounts of semi-structured data like JSON or XML documents, which Google Cloud database options are often recommended? a) Cloud SQL and BigQuery b) Cloud Datastore and Bigtable c) Cloud Storage and Cloud Spanner d) Redis Cache and Event Hub Answer: b) Cloud Datastore and Bigtable Topic 3: Unstructured Data Storage Question: Which Google Cloud service is the most flexible and scalable option for storing various types of unstructured data, like images, videos, or backups? a) Google Cloud SQL b) Google Cloud Spanner c) Google Cloud Storage d) Google Cloud BigQuery Answer: c) Google Cloud Storage Topic 4: Data Warehouses and Data Lakes Question: In the context of data management, how should data warehouses and data lakes be viewed? a) They are competing tools, so you should choose only one. b) They are interchangeable terms for the same concept. c) They are complementary tools, each serving different purposes. d) Data lakes are entirely replacing data warehouses. Answer: c) They are complementary tools, each serving different purposes.
Added: 2025-05-24 21:19:15 | Edited: 2025-05-24 21:19:15 | public
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Question: In which cloud service model d...
Question: In which cloud service model does the end-user have the highest level of responsibility for managing the operating system, applications, and data? a) Software as a Service (SaaS) b) Platform as a Service (PaaS) c) Infrastructure as a Service (IaaS) d) Everything as a Service (XaaS) Answer: c) Infrastructure as a Service (IaaS) Note: IPS = I gcp more responsibility and end user also. P moderate responsibility by Google S low responsibility by End user (Plug n Play i.e: Software as a Service (SaaS))
Added: 2025-05-24 20:50:19 | Edited: 2025-05-24 20:50:19 | public
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Question: What is the primary function o...
Question: What is the primary function of the Google Cloud Vision API? a) To translate text from one language to another. b) To analyze and understand the content of images. c) To manage virtual machines on Google Cloud. d) To provide real-time audio transcription. Answer: b) To analyze and understand the content of images. . It is basically ML (machine Learning) related data handling API
Added: 2025-05-24 20:46:06 | Edited: 2025-05-24 20:46:06 | public