Concept · article 15 of 24

Handling a
half-day.

When the shop opened at 14:00. The two patterns owners use — and which one matches your accounting.

Ibrahim Ölmez Ibrahim ÖlmezFounder · nouz · 4 min read · Updated this week
Most owners just log normally. A half-day is a low-revenue day. Logging it the same way you log a full day is honest — the lower revenue tells the story by itself.

Half-days don't need special handling in nouz — they're just normal days with less revenue. The natural data flow captures the reality without any workaround.

01 Two patterns

  • Log it as a normal day with whatever revenue + expenses actually happened. Half-day shows up as low-revenue in the data, which is true.
  • Log it as closed (blank) and forget it. Fine if a half-day with €40 of revenue is more like "we were closed" than "we were open".

02 Log it as normal

Recommended. The revenue you took counts, the expenses you incurred count, and the day shows up in your Statistics like any other. If it's an outlier (peak/weak day), the insight tag in Statistics will flag it — that's the system working correctly.

Your weekly average reads slightly differently with a half-day in the mix vs without, but that's reality — averaging across "open four full days + one half-day + two closed days" is a more accurate read on the week than pretending the half-day didn't happen.

03 Fixed costs don't flex

A half-day still subtracts the full daily fixed-cost slice. Your rent doesn't halve because you were closed at lunch. The honest math: a half-day has half the revenue but the same fixed-cost burden — which means a more negative EBIT than a normal day. That's real.

04 Mark it in the note

Add a note to the revenue entry: "Half-day — sick", "Opened 14:00 (delivery delay)", "Public holiday — short hours". This isn't for analytics; it's for you when you look at the day six months later and wonder why it was an outlier.

Don't artificially boost a half-day's number. Some owners are tempted to "annualise" a half-day's revenue — multiply by two to "what it would have been". Don't. Statistics depends on real data, not estimates. A half-day at half revenue is the right input.

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