On 27 Mar 2026, SMY Bhuntar emerged as the top-performing mandi for Guava, recording the highest traded price of ₹9,000 per quintal. Among all reporting markets, this mandi outperformed peers, setting the benchmark for the day.

When a single mandi leads the price chart across the network, it signals strong competitive bidding, quality arrivals, and robust buyer participation rather than isolated transactions.

SMY Bhuntar – Competitive Market Leadership

  • Commodity: Guava
  • Date: 27 Mar 2026
  • Highest Recorded Price: ₹9,000
  • Average Trading Price: ₹5,656
  • Total Active Mandis: 90

A strong average alongside the highest price indicates that the leadership is supported by broader trading strength, not just one or two premium deals. Such performance often reflects higher-quality produce, better logistics, or stronger procurement demand in this mandi.

Comparison with Other Major Mandis

MandiPrice (₹ per quintal)
SMY Bhuntar₹9,000
SMY Dharamshala₹8,500
Karaikudi(Uzhavar Sandhai ) APMC₹8,000
Kumbakonam (Uzhavar Sandhai ) APMC₹8,000
PMY Kangni Mandi₹8,000
Narwal Jammu (F&V) APMC₹8,000
Singampunari(Uzhavar Sandhai ) APMC₹7,750
Sivagangai (Uzhavar Sandhai ) APMC₹7,700
Devakottai (Uzhavar Sandhai ) APMC₹7,500
Anna nagar(Uzhavar Sandhai ) APMC₹7,500
SMY Jaisinghpur₹7,500
Chokkikulam(Uzhavar Sandhai ) APMC₹7,500

The comparison above clearly shows that SMY Bhuntar maintained a price edge over other markets. In such cases, the leading mandi often becomes a reference point for regional price discovery.

Arrival Volume and Quality Impact

Total arrivals were reported at 0 quintals. Higher-quality arrivals or concentrated buying interest can push prices above competing mandis, reinforcing the top position.

30-Day Performance Context

Over the last 30 days, the commodity recorded a high of ₹12,000 and a low of ₹300.

If today’s top price approaches or exceeds the monthly high, it signals strong competitive positioning. Sustained performance near the upper range indicates structural strength rather than temporary fluctuation.

20-Day Historical Trend Review

DateHigh (₹)Low (₹)Average (₹)
27 Mar₹11,000₹2,500₹5,656
26 Mar₹10,000₹1,000₹5,383
25 Mar₹11,000₹300₹5,478
24 Mar₹10,000₹500₹5,336
23 Mar₹10,000₹300₹5,469
22 Mar₹12,000₹900₹5,567
21 Mar₹12,000₹700₹5,459
20 Mar₹12,000₹500₹5,342
19 Mar₹12,000₹2,600₹5,663
18 Mar₹12,000₹3,000₹5,655
17 Mar₹12,000₹2,500₹5,486
16 Mar₹12,000₹2,200₹5,571
15 Mar₹12,000₹1,500₹5,616
13 Mar₹11,000₹700₹5,804
12 Mar₹8,000₹1,600₹4,919
11 Mar₹12,000₹700₹5,872

If this mandi has consistently recorded higher levels over recent sessions, it may indicate sustained competitive advantage. However, if today’s jump is sudden, it could be driven by short-term demand spikes or selective premium arrivals.

Strategic Importance for Farmers

Identifying the top mandi is critical for farmers seeking better price realization. While higher rates are attractive, transportation costs, timing, and produce grading must also be considered before shifting supply.

Trader & Market Perspective

Traders frequently use the leading mandi as a pricing benchmark. If this market consistently leads, it can influence regional price expectations and procurement strategies.

Conclusion

On 27 Mar 2026, SMY Bhuntar secured the highest position for Guava pricing. Continued monitoring of historical trends, arrival patterns, and cross-mandi comparisons will determine whether this leadership is sustainable in the coming sessions.


Frequently Asked Questions (FAQs)

“Top Mandi of the Day” means that SMY Bhuntar recorded the highest prices for Guava compared to other mandis on 27 Mar 2026.

Higher prices in SMY Bhuntar are usually driven by strong buyer demand, better quality arrivals, limited supply, or active participation from traders.

The top mandi is identified by comparing modal prices of Guava across multiple mandis for the same trading day.

Farmers may consider selling in nearby top mandis, but should also factor in transport costs, market fees, and real-time arrival trends before deciding.

Yes, the top mandi can change every day depending on supply levels, demand patterns, and overall trader activity.

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