Crop revenue minus the direct variable costs of growing and harvesting it — labour, chemical, fertiliser, water and packing — divided by bearing hectares. By stripping out fixed overheads it fairly compares crops, blocks and varieties.
Orchard gross margins swing widely with yield, packout and price; the leading operators consistently sit at the upper end of the range through higher premium packout and tight cost control rather than yield alone.
APAL Orchard Business Analysis ↗Gross margin per hectare is where yield, packout, price and cost finally meet. It reveals whether a high-touch, high-input block actually out-earned a leaner one, and which varieties are genuinely carrying the orchard rather than just filling ground.
Silo pulls each of these from the sources the operation already uses, and keeps the figure current automatically.
Rank blocks on gross margin, not yield, and renew the laggards.
Protect packout to defend the revenue side of the margin.
Hold variable costs flat while lifting premium tonnes.
Crop revenue minus the direct variable costs of growing and harvesting it — labour, chemical, fertiliser, water and packing — divided by bearing hectares. By stripping out fixed overheads it fairly compares crops, blocks and varieties.
You need: Crop revenue ($), Variable costs ($), Bearing area (ha). Silo pulls each of these from the sources the operation already uses and keeps the figure current automatically.
Orchard gross margins swing widely with yield, packout and price; the leading operators consistently sit at the upper end of the range through higher premium packout and tight cost control rather than yield alone.
Rank blocks on gross margin, not yield, and renew the laggards. Protect packout to defend the revenue side of the margin. Hold variable costs flat while lifting premium tonnes.
Connect the software, spreadsheets and records you already keep, and Silo keeps every benchmark on this page current automatically.
Book a demo