Pilot Economics Snapshot

Cost Structure, Unit Economics & Pilot ROI Logic

1. Cost per Tree (Pilot Phase Estimates)

Indicative pilot economics are designed to remain capital-efficient while generating decision-grade data.

Cost ComponentEstimated Cost (USD / tree)Notes
Fungal consortium & materials500Proprietary preparation & handling
Application & field labor300Trained technicians
Monitoring & documentation400Data, inspections, records
Pilot overhead & QA400Supervision, compliance
Total per Tree1,600Pilot-scale cost

(Costs expected to decrease 20–35% at commercial scale)

2. Cost per Hectare (Pilot Density Model)

Assuming 1,000 agarwood trees per hectare:

MetricLow CaseHigh Case
Trees per hectare8001,000
Cost per tree (Php)2,5004,000
Total pilot cost / ha (Php)2,000,0004,000,000

3. Value Creation Logic (Per Tree)

Pilot ROI is modeled conservatively using resin probability uplift, not full luxury-grade assumptions.

ParameterConservative CaseUpside Case
Successful resin induction rate30%50%
Marketable resin per successful tree0.3 kg0.6 kg
Avg. resin value (USD/kg)1,2002,500
Gross value per tree108750

4. Pilot ROI Logic (Per Hectare)

Conservative Case (400 trees/ha):

  • Pilot cost: ~USD 9,200–14,000
  • Gross resin value: ~USD 43,000
  • Gross multiple: ~3.1×–4.7×

Upside Case (500 trees/ha):

  • Pilot cost: ~USD 14,000–18,000
  • Gross resin value: ~USD 187,500
  • Gross multiple: ~10×–13×

(Excludes downstream extraction, oil, and fragrance premiums)

5. Strategic Upside Beyond Pilot Cash Flow

  • Data-driven protocol validation enabling licensing revenue
  • Faster commercialization timeline
  • Reduced biological risk for estate-scale investors
  • Optional downstream integration (CESI, fragrance partners)

6. Commercial Scale Effect

Upon pilot success:

  • Cost per tree expected to decline materially
  • Revenue per tree increases with protocol refinement
  • Portfolio-level returns improve through scale and vertical integration

All figures are indicative estimates for pilot evaluation purposes and subject to biological, market, and operational variables.