El Niño and farm financial forecasting: planning for yield and cost risk

 Before El Niño bites into yields, your planning already has 

Historically, sharp increases in Australian food prices could be traced back to a significant weather event. 

Australian farmers are accustomed to planning around seasonal uncertainty, but weather is only one factor shaping farm profitability. Drought, flood and fire can have a devastating impact on crop yields. Unsurprisingly, primary producers pay a lot of attention to rainfall forecasts and are concerned about the current El Niño conditions.

However, by the time an El Niño event or another disruption arrives, much of the yield outcome may already be locked in.

With El Niño strengthening and fuel, fertiliser and other input costs remaining volatile, many production outcomes are influenced well before seasonal conditions are known. Decisions about planting, fertiliser, fuel and working capital can effectively set the upper limit on yield and profitability.

This is why farm financial forecasting and scenario planning are increasingly important. 

Testing different combinations of input costs, yields and commodity prices can help producers understand the financial consequences of decisions before they are locked in.

Expenditure decisions cap production capacity

Every early-season decision will impact your production capacity long before the weather has its say.

Consider your key inputs, like how much fertiliser you apply or how much diesel you purchase.  

If you decide to use less fertiliser or delay planting to minimise fuel use, you’re also setting an upper limit on what your paddocks can return. Your decisions have determined your productive capacity. 

 How input decisions affect farm production capacity 

It is no secret that input costs have become harder to predict. Energy markets, geopolitical instability, vulnerable supply-chains and trade restrictions all impact the price of the key inputs required to produce food. mported fuel remains a key vulnerability, and disruptions in major trading regions push costs higher while reducing availability. For producers, this means input risk is back and can quickly become output risk..

Lower or less predictable output creates a wider range of market outcomes, increasing price volatility.

Many producers are responding rationally by preserving liquidity, reducing expenditure and limiting exposure. While asensible approach, there is a risk that short-term cost optimisation reduces medium-term value creation.

A fertiliser saving today may have an outsized impact on future revenue.  

 Why farm financial forecasting matters in uncertain seasons 

Agriculture will always involve making decisions before all information is available.  You can't control the weather, and you can't fully control input markets. What you can  improve is the quality of decisions you make within that uncertainty.

This is where forecasting needs to evolve to support scenario-based decision making. Rather than betting on a single outcome, you model several: high input costs against a dry season, lower costs against an average one, and everything in between. 

The producers best placed to navigate this environment will be those with the clearest understanding of the trade-offs they face, the numbers behind each decision and the range of outcomes they are prepared to accept.

 Why farm financial forecasting matters in uncertain seasons 

Agriculture will always involve making decisions before all information is available.  You can't control the weather, and you can't fully control input markets. What you can  improve is the quality of decisions you make within that uncertainty.

This is where forecasting needs to evolve to support scenario-based decision making. Rather than betting on a single outcome, you model several: high input costs against a dry season, lower costs against an average one, and everything in between. 
The producers best placed to navigate this environment will be those with the clearest understanding of the trade-offs they face, the numbers behind each decision and the range of outcomes they are prepared to accept.

Seasonal conditions will always be outside a producer's control. 
The financial impact of those conditions does not have to be.

By modelling different combinations of input costs, yields and prices, agribusinesses can make decisions with a clearer understanding of their impact on cash flow, profitability and long-term value.