How Seasons Affect Food Trucks: What 8,043 Orders Show
An anonymized analysis of 8,043 food-truck orders shows why summer is not automatically stronger for every operator—and what owners should plan for.
Food Truck or Restaurant Owner? Sign up for the Culinary Entrepreneur Newsletter!

How do seasons affect the food truck industry?
Weather, school calendars, tourism, festivals, daylight, and customer routines can all change food-truck demand. But “summer is always busiest” is too simple.
Avocado analyzed 8,043 paid orders from a small, anonymized group of U.S. food trucks and food trailers between March 1 and August 31, 2026. The broad cohort grew from three active merchants in spring to five in summer, so raw totals alone would give a misleading answer. We therefore also compared the three trucks that recorded at least 10 active service days in both seasons.
The central finding: seasonality affected each truck differently. Across the matched trucks, the median change in sales per active day from spring to summer was a 12% decline, while median daily order count was flat. Individual sales changes ranged from a 42.2% decrease to a 17.5% increase.
Summer can create more opportunities, but it does not guarantee more revenue. Location, service schedule, menu, pricing, events, and local climate can matter as much as the season itself.
What the broader data showed
Across all qualifying trucks, spring produced:
2,560 paid orders
$48,768.36 in net sales after recorded refunds
97 active service days
$283.40 in median sales per active day
13 median orders per active day
$19.05 average order value
4.0% of orders placed online
Summer produced:
5,483 paid orders
$100,242.74 in net sales after recorded refunds
206 active service days
$354.35 in median sales per active day
18 median orders per active day
$18.28 average order value
8.5% of orders placed online
Those summer totals look dramatically stronger. They are also affected by cohort growth: five merchants were active in summer compared with three in spring. More trucks and more service days naturally create more orders and sales. That is why the matched comparison is more useful for understanding seasonality.
The matched-truck result
We compared the three trucks with at least 10 active service days in both spring and summer. Together, they contributed 263 active service days across the two periods.
For the median truck:
Sales per active day decreased 12%
Orders per active day were unchanged
Individual sales changes ranged from -42.2% to +17.5%
Individual order-count changes ranged from -23.9% to +32.4%
This wide range is the real lesson. A seasonal plan should be based on a truck’s own sales history, not a generic assumption that warm weather will lift every business equally.
Why summer can help one truck and hurt another
More events do not always mean better unit economics
Summer often creates more festivals, markets, brewery events, and private bookings. These can increase order volume, but they can also introduce vendor fees, longer travel, extra labor, and more complex prep.
Owners should evaluate each event using contribution dollars, not crowd size. An event with a long line can still disappoint if the vendor fee is high, service is slow, or the menu produces too much waste.
Heat changes what customers buy
Customer preferences can shift with temperature. Heavy entrées may lose share while drinks, frozen products, fruit, smaller portions, and portable items gain it.
Our aggregate average order value declined from $19.05 in spring to $18.28 in summer. Because the cohort changed, that difference should not be treated as a clean seasonal effect. It is still a useful prompt for owners: watch whether warmer weather changes item mix, attachment rates, and the number of items per ticket.
The schedule changes with the customer
School breaks, tourism, daylight, and workplace attendance can move demand between locations and dayparts. A lunch location built around office workers may behave differently from a truck serving parks, festivals, or evening venues.
Compare performance by location, weekday, and hour. “Summer” is not one operating condition; it is a collection of changing customer routines.
Competition increases too
Good weather brings customers outside, but it also brings more vendors outside. A location that performs well in spring may become crowded in summer.
Track sales per service hour and sales per labor hour alongside total revenue. If the same location requires a longer shift to produce similar sales, the top-line number can hide declining efficiency.
Online ordering may become more important
In the broad cohort, online orders represented 4.0% of spring orders and 8.5% of summer orders. The changing merchant mix prevents us from attributing that increase entirely to seasonality, but it shows how ordering behavior can vary across periods.
For a mobile business, online ordering works only when customers can see the correct location, hours, pickup instructions, and current availability. Before a seasonal rush, test the full path from finding the truck to receiving an order-ready notification.
How food truck owners should prepare for each season
Spring: test before demand changes
Use spring to validate locations, simplify the menu, inspect equipment, and measure service speed. Establish a baseline for orders per hour, average order value, food usage, and labor.
Summer: protect throughput and margin
Prepare for short, intense rushes. Reduce unnecessary modifiers, feature items that can be produced quickly, set realistic pickup times, and create a plan for pausing online orders when the kitchen reaches capacity.
Measure event fees, travel, overtime, spoilage, and packaging. Revenue without these costs does not show whether an event was profitable.
Fall: follow changing routines
As schools reopen and daylight shortens, revisit locations and service windows. Office lunches, campuses, sports, and recurring community events may become more dependable than summer tourism.
Winter: plan around fewer service opportunities
In colder markets, fewer outdoor service days can make catering, preorders, delivery, and indoor venue partnerships more important. Build cash reserves before the slow period and schedule maintenance when closing the truck costs the least revenue.
A practical seasonal dashboard
Review these metrics by month, location, and service type:
Sales per active service day
Orders per active service day
Average order value
Sales and orders per labor hour
Item mix and attachment rate
Online-order share
Refund and void rate
Event fees and travel costs
Food waste and sellouts
Returning-customer rate
The most useful comparison is not this summer against last month. Compare the same location, event type, and daypart across similar periods. Record closures and unusual weather so they do not distort the conclusion.
Methodology and limitations
Avocado analyzed paid food-truck and food-trailer orders recorded from March 1 through August 31, 2026. Canceled orders and orders with nonpositive subtotals were excluded. Net sales subtract recorded refund subtotals. An active service day is a local calendar day on which a merchant recorded at least one qualifying paid order.
The broad seasonal totals include three active merchants in spring and five in summer. The matched comparison includes three merchants with at least 10 active service days in each season. We report the median merchant-level change so one larger operator does not determine the result.
The sample is small and reflects Avocado merchants, not the entire U.S. food-truck industry. It does not control for location, cuisine, operating hours, weather, events, pricing changes, or staffing. The results show observed associations, not proof that the season caused a change.
The bottom line
Seasons affect food trucks by changing when customers are outside, where they gather, what they buy, and how many service opportunities are available. But seasonal performance is not uniform.
In Avocado’s matched sample, the median truck’s daily sales fell 12% from spring to summer even though daily order count was flat. Other trucks moved in the opposite direction. The smart response is not to bet blindly on summer. It is to measure your own locations, hours, menu mix, throughput, and costs—and adjust before the season changes.