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Last Updated: January 4, 2025

Drug Price Trends for NDC 70677-0152


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Average Pharmacy Cost for 70677-0152

Drug Name NDC Price/Unit ($) Unit Date
SM CHILD IBUPROFEN 100 MG/5 ML 70677-0152-01 0.03474 ML 2024-12-18
SM CHILD IBUPROFEN 100 MG/5 ML 70677-0152-01 0.03490 ML 2024-11-20
SM CHILD IBUPROFEN 100 MG/5 ML 70677-0152-01 0.03341 ML 2024-10-23
SM CHILD IBUPROFEN 100 MG/5 ML 70677-0152-01 0.03553 ML 2024-09-18
SM CHILD IBUPROFEN 100 MG/5 ML 70677-0152-01 0.03750 ML 2024-08-21
SM CHILD IBUPROFEN 100 MG/5 ML 70677-0152-01 0.03144 ML 2024-07-17
SM CHILD IBUPROFEN 100 MG/5 ML 70677-0152-01 0.03392 ML 2024-06-19
>Drug Name >NDC >Price/Unit ($) >Unit >Date

Best Wholesale Price for NDC 70677-0152

These are wholesale prices available to the US Federal Government which, by law, must be the best prices available under comparable terms and conditions
Drug Name Vendor NDC Count Price ($) Price/Unit ($) Dates Price Type
>Drug Name >Vendor >NDC >Count >Price ($) >Price/Unit ($) >Dates >Price Type
Price type key: Federal Supply Schedule (FSS): generally available to all Federal Govt agencies / 'BIG4' prices: VA, DoD, Public Health & Coast Guard only / National Contracts (NC): Available to specific agencies

70677-0152 Market Analysis and Financial Projection

Market Analysis and Price Projections for the Drug NDC: 70677-1015

Understanding the National Drug Code (NDC)

To analyze the market and project prices for a specific drug, it is crucial to start with the National Drug Code (NDC). The NDC is a unique, three-segment number that identifies the labeler, product, and trade package size of a drug product. For the NDC 70677-1015, the first segment (70677) is the labeler code assigned by the FDA, the second segment (1015) is the product code assigned by the firm, and the third segment would be the package code, also assigned by the firm[1].

Drug Details and Classification

  • Proprietary Name: This is the brand name under which the drug is marketed. For NDC 70677-1015, this information would be available in the FDA's Drug Registration and Listing System (DRLS) or through the NDC Directory[1].
  • Active Ingredients: The active ingredients and their strengths are critical for understanding the drug's market position. This information can be found in files linked to the NDC Directory, such as FORMULAT.TXT[1].
  • Dosage Form and Routes of Administration: The dosage form and routes of administration are also important factors. These details can be obtained from downloadable files like TBLDOSAG.TXT and TBLROUTE.TXT[1].

Market Performance Analysis

Sales Volume and Revenue

To analyze the market performance of the drug with NDC 70677-1015, one would need to look at historical sales data. This can include the volume of units sold and the total sales revenue over time. Studies have shown that sales volumes and prices can vary significantly between traditional and non-traditional pharmaceutical models. For instance, non-traditional models may produce larger volumes of essential medicines but at varying prices compared to traditional models[4].

Price Trends

Price trends are a key component of market analysis. The average sales price per unit can fluctuate over time due to various factors such as market competition, production costs, and regulatory changes. For example, between 2020 and 2022, the average sales price for drugs sold by non-traditional models was observed to be higher initially but then decreased, while traditional models maintained relatively stable prices[4].

Price Projections

Current Market Conditions

To project future prices, it is essential to consider current market conditions. This includes the overall demand for the drug, the presence of competitors, and any recent changes in regulatory policies or production costs.

Impact of Non-Traditional Models

Non-traditional pharmaceutical models can significantly impact price projections. These models often produce drugs at lower costs, which can lead to lower prices in the market. However, the prices can also fluctuate based on the mix of products sold and changes in market share[4].

Role of AI and Health Tech

The increasing adoption of artificial intelligence (AI) and health tech in the pharmaceutical industry can also influence price projections. AI can optimize production processes, reduce costs, and enhance efficiency, potentially leading to more competitive pricing. For instance, AI-driven drug discovery and clinical trial design can reduce the time and cost associated with bringing new drugs to market[3].

Industry Predictions for 2025

AI Adoption

Industry experts predict a significant increase in the adoption of AI in standard operations in clinical development. This could lead to more efficient and cost-effective drug production, which may result in lower prices or more stable pricing in the market[3].

External Data and LLMs

The use of reliable external data to train internal data science models, including large language models (LLMs), is expected to grow. This could enhance the accuracy of market analyses and price projections by providing more robust data sets[3].

Agentic AI

The emergence of agentic AI, which can perform complex tasks independently, may also impact the pharmaceutical industry. This could lead to autonomous systems that optimize production and distribution, potentially affecting pricing strategies[3].

Key Factors Influencing Price Projections

  • Regulatory Approvals: The FDA approval process and any changes in regulatory requirements can significantly impact the pricing of drugs. For example, the approval of new drugs or changes in labeling can affect market dynamics[1].
  • Market Competition: The level of competition in the market, including the presence of generic or biosimilar alternatives, can drive price changes.
  • Production Costs: Changes in production costs, such as raw material prices or manufacturing efficiencies, can influence the pricing strategy.
  • Demand and Supply: Imbalances in demand and supply, such as drug shortages, can lead to price fluctuations.

Example Analysis

For a drug like the one with NDC 70677-1015, if it is an essential medicine, the non-traditional model might produce larger volumes at competitive prices. Here is an example:

  • Historical Data: If the average sales price for this drug was $1.25 per unit in Q1 2020 and decreased to $0.60 by Q4 2022 for the non-traditional model, this trend could continue or stabilize based on current market conditions.
  • Projected Prices: Considering the adoption of AI and health tech, the price might stabilize or decrease further. For instance, if the production costs are reduced due to AI-driven efficiencies, the price could drop to around $0.50 per unit.

Conclusion

Market analysis and price projections for a drug with the NDC 70677-1015 involve a comprehensive look at historical sales data, current market conditions, regulatory factors, and emerging trends in the pharmaceutical industry. The increasing use of AI, changes in production models, and regulatory approvals will play significant roles in shaping the future prices of pharmaceutical drugs.

Key Takeaways

  • NDC Details: The NDC is a critical identifier that provides detailed information about the drug, including the labeler, product, and package size.
  • Market Performance: Historical sales data and price trends are essential for understanding the market position of the drug.
  • AI and Health Tech: The adoption of AI and health tech can optimize production, reduce costs, and influence pricing strategies.
  • Regulatory Factors: FDA approvals and regulatory changes can significantly impact market dynamics and pricing.
  • Market Competition: The level of competition, including the presence of generic or biosimilar alternatives, drives price changes.

FAQs

What is the National Drug Code (NDC) and how is it structured?

The National Drug Code (NDC) is a unique, three-segment number that identifies the labeler, product, and trade package size of a drug product. It is structured into a labeler code, product code, and package code, typically in configurations like 4-4-2, 5-3-2, or 5-4-1[1].

How do non-traditional pharmaceutical models affect drug prices?

Non-traditional models can produce drugs at lower costs, leading to competitive pricing. However, prices can fluctuate based on the mix of products sold and changes in market share[4].

What role does AI play in the pharmaceutical industry?

AI is increasingly adopted in the pharmaceutical industry for optimizing production processes, reducing costs, and enhancing efficiency. It is used in drug discovery, clinical trial design, and real-time patient monitoring, among other areas[3].

How do regulatory approvals impact drug pricing?

Regulatory approvals, such as FDA approvals, can significantly impact market dynamics and pricing. Approved drugs must meet safety and effectiveness standards, and changes in labeling or approvals can affect market competition and pricing strategies[1].

What are the key factors influencing price projections for pharmaceutical drugs?

Key factors include historical sales data, current market conditions, regulatory changes, production costs, demand and supply imbalances, and the adoption of AI and health tech[1][3][4].

Sources

  1. FDA: National Drug Code Database Background Information - FDA
  2. Minnesota.gov: Summary Prescription Drug Costs Report
  3. Intelligencia.ai: 2025 Pharma Predictions: AI, Health Tech, and Data Trends to Watch
  4. ASPE: ISSUE BRIEF - ASPE
  5. FDA.report: NDC 70677-1015 - FDA.report

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Drugs may be covered by multiple patents or regulatory protections. All trademarks and applicant names are the property of their respective owners or licensors. Although great care is taken in the proper and correct provision of this service, thinkBiotech LLC does not accept any responsibility for possible consequences of errors or omissions in the provided data. The data presented herein is for information purposes only. There is no warranty that the data contained herein is error free. thinkBiotech performs no independent verification of facts as provided by public sources nor are attempts made to provide legal or investing advice. Any reliance on data provided herein is done solely at the discretion of the user. Users of this service are advised to seek professional advice and independent confirmation before considering acting on any of the provided information. thinkBiotech LLC reserves the right to amend, extend or withdraw any part or all of the offered service without notice.