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Last Updated: April 16, 2025

Drug Price Trends for NDC 51672-4039


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Average Pharmacy Cost for 51672-4039

Drug NameNDCPrice/Unit ($)UnitDate
ENALAPRIL MALEATE 10 MG TAB 51672-4039-01 0.08672 EACH 2025-03-19
ENALAPRIL MALEATE 10 MG TAB 51672-4039-03 0.08672 EACH 2025-03-19
ENALAPRIL MALEATE 10 MG TAB 51672-4039-01 0.08087 EACH 2025-02-19
ENALAPRIL MALEATE 10 MG TAB 51672-4039-03 0.08087 EACH 2025-02-19
ENALAPRIL MALEATE 10 MG TAB 51672-4039-01 0.07686 EACH 2025-01-22
ENALAPRIL MALEATE 10 MG TAB 51672-4039-03 0.07686 EACH 2025-01-22
ENALAPRIL MALEATE 10 MG TAB 51672-4039-01 0.07624 EACH 2024-12-18
>Drug Name>NDC>Price/Unit ($)>Unit>Date
Showing 1 to 7 of 7 entries

Best Wholesale Price for NDC 51672-4039

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 NameVendorNDCCountPrice ($)Price/Unit ($)DatesPrice Type
ENALAPRIL MALEATE 10MG TAB Golden State Medical Supply, Inc. 51672-4039-03 1000 65.34 0.06534 2023-06-15 - 2028-06-14 FSS
ENALAPRIL MALEATE 10MG TAB Golden State Medical Supply, Inc. 51672-4039-01 100 7.57 0.07570 2023-06-23 - 2028-06-14 FSS
ENALAPRIL MALEATE 10MG TAB Golden State Medical Supply, Inc. 51672-4039-01 100 7.11 0.07110 2023-06-15 - 2028-06-14 FSS
>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
Showing 1 to 3 of 3 entries

Market Analysis and Price Projections for the Drug NDC: 51672-4039

Understanding the National Drug Code (NDC)

Before diving into the market analysis and price projections for the drug with the NDC 51672-4039, it is crucial to understand what the National Drug Code (NDC) represents. The NDC is an 11-digit code assigned to each medication, including the labeler code, product code, and package code. This unique identifier helps in tracking and managing drug prices, inventory, and regulatory compliance[1][4].

Drug Identification

To analyze the market and price projections for a specific drug, one must first identify the drug associated with the NDC 51672-4039. However, since the provided sources do not specify the drug name for this NDC, we will need to rely on general principles of drug price analysis.

Market Trends in Prescription Drug Prices

Prescription drug prices have been a subject of significant scrutiny due to their impact on patient affordability, healthcare payers, employers, and taxpayers. Here are some key trends that can inform our analysis:

  • Price Increases: From January 2022 to January 2023, the average price increase for prescription drugs was 15.2%, translating to an average increase of $589.68 per drug. This trend indicates that drug prices can fluctuate significantly over time[2].
  • Seasonal Price Changes: The largest number of price increases typically occur in January and July each year. This pattern is crucial for predicting future price changes[2].
  • Inflation and Price Increases: Price increases often exceed the rate of inflation. For instance, 46% of the price increases from January 2022 to January 2023 were larger than the rate of inflation[2].

Factors Influencing Drug Prices

Several factors influence the pricing of prescription drugs:

  • Manufacturer Decisions: Drug manufacturers can change the list prices of their drugs at any time after launch. These changes can be driven by various factors including market conditions, competition, and regulatory environments[2].
  • Generic vs. Brand Name Drugs: Generic drugs tend to have higher percentage price increases compared to brand name drugs, although the absolute dollar increases are generally larger for brand name drugs[2].
  • Regulatory Transparency: Programs aimed at increasing transparency in drug pricing, such as those requiring manufacturers to report price increases, can impact how prices are set and communicated[5].

Predicting Price Projections

Given the lack of specific data for the NDC 51672-4039, we can use general trends to make educated predictions:

  • Historical Price Analysis: If historical data is available for the drug, analyzing past price trends can help predict future changes. For example, if the drug has historically followed the average price increase trends, it might see a similar increase in the future[2].
  • Market Conditions: The overall market conditions, including competition from other drugs, regulatory changes, and economic factors, can influence future price projections.
  • External Data and AI: The increasing use of external data and AI in the pharmaceutical industry can help in more accurate price forecasting. For instance, AI models can analyze market trends, competitor pricing, and other factors to predict price changes[3].

Role of AI in Price Projections

AI is becoming increasingly important in the pharmaceutical industry for various tasks, including price projections:

  • AI Adoption: The adoption of AI in standard operations, including clinical development and market analysis, is expected to double in 2025. This could lead to more accurate and data-driven price projections[3].
  • Generative AI and Agentic AI: The use of generative AI for content creation and agentic AI for autonomous decision-making could enhance the ability to predict and adjust to market changes[3].

Real-World Examples

Looking at other drugs can provide insights into how prices might behave:

  • Dapsone 5% Gel: For example, the prices of Dapsone 5% Gel (NDC 51672-1387) have fluctuated over the past year, with prices ranging from $1.37 to $1.87 per gram. This variability highlights the need for continuous monitoring of market trends[1].
  • Azelaic Acid 15% Gel: Similarly, Azelaic Acid 15% Gel (NDC 51672-1389) has seen price changes, with prices ranging from $0.43 to $0.72 per gram. These changes reflect the dynamic nature of drug pricing[4].

Key Takeaways

  • Continuous Monitoring: Regularly monitoring market trends and historical price data is essential for accurate price projections.
  • AI Integration: The use of AI can enhance the accuracy and efficiency of price forecasting.
  • Regulatory Transparency: Transparency in drug pricing can help in better understanding and predicting price changes.
  • Market Conditions: Factors such as competition, regulatory changes, and economic conditions significantly influence drug prices.

FAQs

Q: What is the National Drug Code (NDC), and how is it used? A: The NDC is an 11-digit code assigned to each medication, helping in tracking and managing drug prices, inventory, and regulatory compliance.

Q: How often do prescription drug prices change? A: Prescription drug prices can change at any time, but the largest number of price increases typically occur in January and July each year.

Q: What role does AI play in predicting drug prices? A: AI can analyze market trends, competitor pricing, and other factors to predict price changes, making it a valuable tool in the pharmaceutical industry.

Q: Why do generic drugs often have higher percentage price increases than brand name drugs? A: While generic drugs may have higher percentage price increases, the absolute dollar increases are generally larger for brand name drugs due to their higher base prices.

Q: How do regulatory transparency programs impact drug pricing? A: Regulatory transparency programs help in understanding and predicting price changes by requiring manufacturers to report price increases and provide reasons for these changes.

Sources

  1. DrugPatentWatch, "Latest drug prices and trends for NDC 51672-1387".
  2. ASPE, "Changes in the List Prices of Prescription Drugs, 2017-2023".
  3. Intelligencia.ai, "2025 Pharma Predictions: AI, Health Tech, and Data Trends to Watch".
  4. DrugPatentWatch, "Latest pharmaceutical drug prices and trends for NDC 51672-1389".
  5. Oregon Department of Consumer and Business Services, "Prescription Drug Price Transparency Results and Recommendations".

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