Indonesia Coconut Oil HS1513 Export Data 2025 Q3 Overview

Indonesia Coconut Oil (HS Code 1513) Export in 2025 Q3 shows China dominates bulk volume (29.32%) at lower prices, while US and Netherlands pay premium rates, per yTrade data.

Indonesia Coconut Oil (HS 1513) 2025 Q3 Export: Key Takeaways

Indonesia Coconut Oil Export 2025 Q3 (HS Code 1513) reveals a market split between bulk and premium buyers, with China dominating volume (29.32%) at lower prices while the US and Netherlands pay premium rates for higher-grade oil. Buyer clusters highlight concentration risk, with China’s bulk purchases contrasting sharply with diversified premium demand. Exporters must prepare for potential policy shifts, as Indonesia’s levy hikes on palm oil suggest similar risks for coconut oil. This analysis covers 2025 Q3 and is based on cleanly processed Customs data from the yTrade database.

Indonesia Coconut Oil (HS 1513) 2025 Q3 Export Background

Indonesia Coconut Oil (HS Code 1513), which includes coconut (copra) oil, palm kernel oil, and babassu oil, is vital for food, cosmetics, and biofuels, driving steady global demand. In 2025 Q3, Indonesia raised export levies on palm oil products to support domestic biodiesel programs, signaling tighter supply for related oils like coconut oil [FAS USDA]. As the world’s top palm kernel oil exporter, Indonesia’s policies directly impact global trade flows, making its export decisions critical for buyers and industries reliant on HS Code 1513 products.

Indonesia Coconut Oil (HS 1513) 2025 Q3 Export: Trend Summary

Key Observations

In Q3 2025, Indonesia's coconut oil exports under HS Code 1513 saw a sharp price surge to 2.19 USD/kg in September, the highest quarterly peak, while volume plummeted to 127.40 million kg, signaling significant market disruption.

Price and Volume Dynamics

Compared to Q2, Q3 average unit price rose from 1.92 to 2.03 USD/kg, and total volume increased from 483.46 to 560.97 million kg, driven by typical seasonal demand for vegetable oils in food and biodiesel sectors during this period. However, the extreme September volatility—with price up 9.5% month-over-month and volume down 41.2%—diverges from normal stock cycles, hinting at external supply pressures rather than inherent industry patterns.

External Context and Outlook

This instability aligns with Indonesia's policy shifts, including raised export levies on palm oil [USDA Report] and temporary duty hikes (Global Trade Alert), which constrained palm oil supply and likely boosted demand for substitutes like coconut oil under HS Code 1513. With potential further restrictions tied to biodiesel expansion (Ukragroconsult), the outlook for Indonesia Coconut Oil HS Code 1513 Export 2025 Q3 remains volatile, dependent on policy enforcement and global substitution effects.

Indonesia Coconut Oil (HS 1513) 2025 Q3 Export: HS Code Breakdown

Product Specialization and Concentration

In Q3 2025, Indonesia's Coconut Oil exports under HS Code 1513 are heavily concentrated in refined palm kernel or babassu oil, specifically the sub-code for "Vegetable oils; palm kernel or babassu oil and their fractions, other than crude, whether or not refined, but not chemically modified". This product accounts for over half of the export weight and nearly half of the total value, with a unit price of 1.81 USD per kilogram, indicating its dominant role. An extreme price anomaly is present in a minor sub-code with a unit price of 92.98 USD per kilogram, but it is isolated due to negligible quantity and excluded from further analysis.

Value-Chain Structure and Grade Analysis

The remaining sub-codes fall into two main categories: crude oils and refined oils. Crude oils, such as coconut and palm kernel crude variants, have unit prices ranging from 1.88 to 2.55 USD per kilogram. Refined oils, including both coconut and palm kernel types, show similar unit prices between 1.74 and 2.84 USD per kilogram. This narrow price range across grades suggests that Indonesia's Coconut Oil exports under HS Code 1513 operate as fungible bulk commodities, closely tied to global market indices rather than being highly differentiated manufactured goods.

Strategic Implication and Pricing Power

For market players, the commodity-like structure implies limited pricing power, with margins likely driven by volume and cost efficiency rather than product differentiation. Indonesia's export policies for palm-related products, such as increased levies and potential restrictions [USDA], could indirectly affect Coconut Oil exports under HS Code 1513 if supply chains overlap, emphasizing the need for compliance with regulatory changes and focus on high-volume, low-cost operations.

Check Detailed HS 1513 Breakdown

Indonesia Coconut Oil (HS 1513) 2025 Q3 Export: Market Concentration

Geographic Concentration and Dominant Role

Indonesia Coconut Oil HS Code 1513 Export 2025 Q3 shows China as the dominant buyer, taking 29.32% of total volume. China's value share (26.98%) is slightly lower than its volume share, indicating it buys larger quantities of lower-priced product. The United States, by contrast, pays a higher unit price, suggesting it purchases higher-grade oil.

Partner Countries Clusters and Underlying Causes

Buyers form three clear groups. China operates as the bulk commodity buyer. The US and Netherlands form a premium market cluster, with both paying above-average prices per kilogram. A third group includes Brazil, Philippines, and Russia, which show mid-range volume and value shares, likely serving regional food manufacturing and refining industries.

Forward Strategy and Supply Chain Implications

Exporters should prepare for continued policy changes, as Indonesia has raised export levies on palm oil products to support domestic biodiesel programs [USDA]. This suggests coconut oil could face similar measures. Suppliers for the US and EU markets should focus on certification and quality to justify premium prices, while bulk buyers may need to secure long-term contracts to manage potential export restrictions (USDA).

CountryValueQuantityFrequencyWeight
CHINA MAINLAND302.90M156.97M169.00160.40M
UNITED STATES196.37M96.64M103.0096.97M
NETHERLANDS162.25M71.84M71.0073.84M
BRAZIL98.69M55.09M54.0055.43M
PHILIPPINES65.54M29.55M20.0029.55M
RUSSIA************************

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Indonesia Coconut Oil (HS 1513) 2025 Q3 Export: Buyer Cluster

Buyer Market Concentration and Dominance

For Indonesia Coconut Oil Export under HS Code 1513 in 2025 Q3, the buyer market shows extreme concentration, with one segment of high-value and high-frequency buyers dominating over 96% of export value. This group drives the market with large, regular transactions, typical for commodity products like coconut oil, where bulk and consistent demand define trade flows.

Strategic Buyer Clusters and Trade Role

The remaining three segments have minor roles. Buyers with high value but low frequency make occasional large purchases, often for spot deals or specific project needs. Those with low value but high frequency are small but regular buyers, likely local distributors or smaller importers handling routine orders. The low value and low frequency group consists of infrequent small buyers, which may represent niche markets or trial orders.

Sales Strategy and Vulnerability

Exporters in Indonesia should prioritize securing and nurturing relationships with the dominant high-value buyers to sustain revenue, but this reliance poses a risk if their demand shifts. Diversifying into the smaller buyer segments can reduce vulnerability and tap into growth opportunities. Given recent export policy changes, such as raised levies and potential restrictions [FAS USDA], exporters must adapt sales strategies to manage costs and comply with regulations, emphasizing flexible pricing and supply chain resilience.

Buyer CompanyValueQuantityFrequencyWeight
MULTI NABATI SULAWESI124.24M46.42M48.0046.42M
SARI DUMAI SEJATI122.60M66.29M60.0066.29M
SINAR MAS AGRO RESOURCES AND TECHNOLOGY TBK. SMART TBK.114.90M59.61M77.0061.60M
MULTIMAS NABATI ASAHAN************************

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Indonesia Coconut Oil (HS 1513) 2025 Q3 Export: Action Plan for Coconut Oil Market Expansion

Strategic Supply Chain Overview

Indonesia Coconut Oil Export 2025 Q3 under HS Code 1513 operates as a bulk commodity. Price is driven by global market indices, not product differentiation. Supply chain implications focus on volume efficiency and policy compliance. Indonesia acts as a key processing hub for raw materials. Recent export levy changes add cost and regulatory risk.

Action Plan: Data-Driven Steps for Coconut Oil Market Execution

  • Prioritize high-frequency, high-value buyers from trade data. Secure long-term contracts with them to ensure stable revenue and predictable order volumes.
  • Diversify into smaller buyer segments using transaction records. Target occasional large purchasers and regular small importers to reduce reliance on a few major clients.
  • Monitor Indonesian export policy updates closely. Adjust pricing and supply plans in real-time to manage new levies or restrictions and avoid compliance issues.
  • Segment buyers by destination and price paid. Offer certified, higher-grade oil to premium markets like the US, while maintaining cost-competitive bulk supply for high-volume buyers like China.

Take Action Now —— Explore Indonesia Coconut Oil Export Data

Frequently Asked Questions

Q1. What is driving the recent changes in Indonesia Coconut Oil Export 2025 Q3?

The sharp price surge and volume drop in September 2025 reflect market disruption, likely tied to Indonesia's export levy hikes on palm oil, which constrained supply and boosted demand for substitutes like coconut oil.

Q2. Who are the main partner countries in this Indonesia Coconut Oil Export 2025 Q3?

China dominates with 29.32% of volume, while the US and Netherlands form a premium cluster paying higher unit prices, and Brazil, Philippines, and Russia serve mid-range markets.

Q3. Why does the unit price differ across Indonesia Coconut Oil Export 2025 Q3 partner countries?

Price differences stem from product grades—China buys bulk crude oils (lower-priced), while the US and Netherlands purchase refined oils (higher-priced), reflecting their demand for quality.

Q4. What should exporters in Indonesia focus on in the current Coconut Oil export market?

Exporters must prioritize relationships with high-value buyers (96% of trade) while diversifying into smaller segments to mitigate reliance on China and adapt to potential policy shifts like levies.

Q5. What does this Indonesia Coconut Oil export pattern mean for buyers in partner countries?

Bulk buyers (e.g., China) face supply volatility risks, while premium markets (US/EU) can leverage quality focus, but all must monitor Indonesia’s regulatory changes for cost impacts.

Q6. How is Coconut Oil typically used in this trade flow?

Indonesia’s exports under HS Code 1513 function as fungible bulk commodities, primarily for food manufacturing and biodiesel, with limited product differentiation.

Q7. What is yTrade?

yTrade is a global trade data platform that provides SaaS and API access to provide accurate, structured, and searchable import-export trade data for international business decisions. It enables users to access verified shipment records, analyse buyer and supplier activity, review company trade overviews, assess compliance risks, and monitor real market demand — all from a single, scalable system.

Q8. How can yTrade benefit my business?

yTrade helps businesses:

  • Identify active and verified buyers through global import data
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  • Monitor competitor previous trade activity
  • Reduce sourcing and compliance risk with worldwide export data
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  • Save time by replacing manual research with structured trade data analysis

Q9. What features does yTrade offer?

yTrade provides practical, trade-focused tools including:

  • Global shipment search by HS code, product, company name, port, or country
  • Detailed company trade profiles with ownership and relationship mapping
  • Buyer and supplier discovery with real transaction trade records
  • Basic compliance with background checks and sanctions risk screening
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  • Big-Data Search engine with percised filters to generate accurate data reports
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