Expert analysis on financial reporting, tax accounting, IFRS, GAAP, audit, and the tools modern accountants rely on.
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A profitable month on paper and an empty-feeling bank account are not a contradiction — they are two different accounting lenses on the same business. This article unpacks the gap between accrual and cash basis accounting with a worked example, journal entries, and a step-by-step reconciliation so you can stop confusing timing differences with real trouble.
Trade receivables can look healthy on paper right up until a customer collapses and takes a chunk of your profit with them. This guide explains how IFRS 9's expected credit loss model differs from FRS 102's incurred loss approach, and walks through a real provision matrix calculation, journal entries, and the accounting policy choice under paragraph 11.2 that lets FRS 102 preparers apply IFRS 9 instead.
A supplier says the new machine pays for itself in three years, but is that reason enough to spend £120,000? Learn how payback period, NPV and IRR work together to test whether a capital purchase genuinely creates value, with a full worked example and the accounting entries behind it.
R&D tax relief can put real cash back into an SME, but only if you understand which scheme applies and how to record it correctly. This guide breaks down qualifying costs, the merged scheme, ERIS, and a worked £200,000 example with journal entries.
Bank feed categorisation powered by machine learning promises to end the drudgery of manual transaction coding, but how does it actually decide where a payment belongs? This article breaks down the pattern-recognition logic behind AI bookkeeping, walks through a worked example for a small consultancy, and shows why confidence scores — not blind automation — are the key to trustworthy management accounts.
EBIT, EBITDA and net profit are not competing answers to the same question — they are three different lenses on the same set of numbers. This article unpacks what each metric strips out, why lenders and buyers favour different ones, and how a single SME's figures can swing from a £150,000 headline to a £60,345 bottom line depending on which line you stop at.
When a business sells for more than the value of everything you can see and touch, the difference has a name: goodwill.…
Your profit and loss account tells you whether you made money. Your balance sheet tells you what you own and what you…
If your business sells a physical product — or buys in goods to resell — then Cost of Goods Sold is one…
A finance team that reports numbers without tracking the right numbers is working hard in the wrong direction. Key performance indicators —…
You can be turning a profit every month and still find yourself unable to pay your suppliers. It sounds contradictory, but it…
Numbers without context are just data. A revenue figure of £80,000 in March means very little on its own — was it…
Bank feed categorisation powered by machine learning promises to end the drudgery of manual transaction coding, but how does it actually decide where a payment belongs? This article breaks down the pattern-recognition logic behind AI bookkeeping, walks through a worked example for a small consultancy, and shows why confidence scores — not blind automation — are the key to trustworthy management accounts.
AI-powered invoice processing turns a typical SME's three-day accounts payable backlog into a same-day task by automating data extraction, three-way matching and coding — while keeping humans in charge of approvals and compliance.
Introduction The integration of Artificial Intelligence (AI) into modern accounting practices is transforming the finance industry. AI technologies are enhancing efficiency, accuracy,…
