Calculate the feed cost per pound of live weight gain for any livestock species. Compare ration economics and optimize feeding profitability.
The Feed Cost per Pound of Gain Calculator determines how much you spend on feed to add one pound of live body weight to your livestock. This metric is the most direct link between feed expenses and animal performance, making it essential for ration evaluation and purchasing decisions.
The calculation is simple: multiply the daily feed intake by the cost per pound of feed, then divide by the daily weight gain. Alternatively, multiply total feed consumed by its cost and divide by total weight gained. Either approach yields the same result — dollars per pound of gain.
Feed cost of gain varies with feed prices, ration formulation, animal genetics, and environmental conditions. In feedlot cattle, typical values range from $0.60 to $1.20 per pound of gain. When feed prices spike or animal health issues reduce gains, cost of gain rises quickly. This calculator helps you evaluate ration changes, compare feed ingredients, and make informed purchasing decisions before committing to a feeding program.
Comparing the cost of gain across rations, feed sources, and time periods reveals which feeding program delivers the most profit. Cheap feed is only cheap if the animals gain efficiently on it. This calculator translates feed prices and animal performance into the one number that matters most for feeding profitability.
$/lb gain = (Feed intake (lbs/day) × Feed cost ($/lb)) / ADG (lbs/day) Or equivalently: $/lb gain = Total feed cost / Total weight gained Where: Feed intake = Pounds of feed consumed per day Feed cost = Price per pound of ration ADG = Average daily gain
Result: $0.63/lb gain
Daily feed cost = 22 × $0.10 = $2.20/day. At 3.5 lbs ADG, cost per lb gain = $2.20 / 3.5 = $0.63. Over a 150-day feeding period, total feed cost per head = $2.20 × 150 = $330 to add 525 lbs of gain.
When evaluating feed purchases, cost per pound of gain is the ultimate arbiter. Two feeds priced differently per ton may produce the same cost of gain if the cheaper feed is less energy-dense. Conversely, a premium-priced ingredient can lower cost of gain if it improves conversion efficiency or increases intake.
Your cost of gain determines the minimum breakeven price you need at sale. Combine cost of gain with purchase cost, yardage, and other expenses to calculate total breakeven. If the projected market price exceeds your breakeven, the cattle are profitable; if not, adjust rations or marketing timing.
Track cost of gain across lots, seasons, and years to identify trends. Benchmark against industry data from university extension services and your feed consultant. Even small improvements — $0.05 per pound of gain — compound across thousands of head into meaningful profit increases.
In a typical corn-based feedlot, $0.60 to $0.90 per pound of gain is competitive. Values above $1.00 often indicate high feed prices, poor animal health, or an inefficient ration. Market conditions heavily influence what is achievable.
Divide the per-ton price by 2,000. For example, corn at $280/ton = $0.14/lb. For rations priced per ton on an as-fed basis, this conversion gives you the per-pound figure needed for the calculator.
The basic calculation includes only feed costs. A complete cost of gain also adds yardage, health treatments, death loss, interest on cattle investment, and marketing costs. Feed typically represents 70-80% of the total.
If a cheap ration has low energy density, animals eat more of it but gain less efficiently. The higher intake and lower daily gain result in more feed dollars per pound of gain despite the lower ingredient cost.
Cold stress and heat stress both increase maintenance energy requirements, reducing the proportion of feed that goes to gain. In severe winter conditions, cost of gain can increase 15-25% compared to thermoneutral conditions.
Yes. If minerals and supplements are a meaningful cost per head per day, include them in the total feed cost. They are part of the complete ration cost and ignoring them underestimates true cost of gain.