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India Rice Bran (Raw) Price Trend (₹/MT)

RB Raw (16/5/8) – Punjab refers to raw rice bran generated during rice milling and traded from Punjab, primarily for rice bran oil extractio...

Price Intelligence India 2026
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Key Takeaway

  • Factors affecting RB Raw (16/5/8) – Punjab prices: Prices are mainly influenced by paddy milling activity, rice production, paddy arrivals, availability of raw rice bran, and seasonal milling patterns in Punjab. Since raw rice bran is a by-product of rice milling, higher milling volumes generally increase supply and can put downward pressure on prices, while reduced availability supports prices. Rice bran oil prices, crude rice bran oil demand, extraction margins and demand from solvent extraction plants are key drivers, as processors value raw bran largely based on its oil content.
  • Demand for the bran fraction in livestock and poultry feed also affects prices. Competing feed ingredients and oilseed meals, including soybean meal, mustard meal and other rice-milling by-products, influence its relative feed value. Additionally, bran quality, oil content, moisture, FFA levels, storage losses, transportation costs, mill capacity utilization, inventory levels, regional demand and government policies affecting rice and edible oils contribute to price movements.

About This Dataset

RB Raw (16/5/8) – Punjab refers to raw rice bran generated during rice milling and traded from Punjab, primarily for rice bran oil extraction and related feed applications.

Breakdown of the Trading Term

  • RB Raw: Raw rice bran obtained as a by-product of rice milling before oil extraction or further processing.
  • (16/5/8): Represents the applicable commercial composition specification, generally indicating approximately 16% oil/fat, 5% moisture and 8% fibre, subject to the reporting source and applicable trade specification.
  • Punjab: Indicates Punjab as the geographical origin or market/price basis.

Commercial Relevance:
The specification is useful for assessing raw rice bran based on its oil-bearing potential, moisture level and fibre content before further processing.

Methodology

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