Compare companies and brands, instantly.

How to read a comparison

The table puts the same rows against up to four columns, so the eye can do the work a spreadsheet would otherwise do. What the rows mean changes with the dimension you picked.

• Country markets. The company, brand and manufacturer counts are supply-side counts — how much of that national market is indexed in the directory, not how large the market is in money. The macro rows beneath them (area, population, pet population, GDP, market size, per-capita pet spend) come from public references and are labelled where they are modelled.
• Companies. Primary company type comes from the category the profile designates as primary, which is also what the company card and the mobile app show — so a comparison never disagrees with the profile you clicked from.
• Brands. Compares the consumer-facing label rather than the legal entity: category, country of origin, owning company and web presence. To compare the factories behind two labels, switch to the Company dimension and compare their manufacturers instead.
• Empty cells are information. A blank row means the field has not been filled for that entity, not that the value is zero. We leave it blank rather than guess, because a guessed figure in a comparison table is indistinguishable from a measured one.
• Asterisks mean estimated. Any figure followed by * is modelled or derived rather than reported by the source itself.

Three ways teams actually use this page

Compare is built for decisions that involve more than one candidate. These are the three we see most often.

• Choosing between two factories. Open both manufacturer profiles, add each to compare, and look at country, founding year, staff band, revenue band and whether they declare OEM/ODM capability. The row that decides it is usually not the biggest one — it is whether the second source can actually do your process.
• Deciding which market to enter first. Compare three or four countries on supply-side depth and on pet population together. A market with few indexed manufacturers but a large pet population is a different opportunity from one that is crowded on both counts, and the table makes that difference visible in one screen.
• Checking a brand against its manufacturing base. Compare the brand on the Brand dimension, then compare the companies that own or produce it on the Company dimension. If a label presents itself as a manufacturer but the profile shows a trading company, that is worth knowing before you ask for a factory audit.

Data notes

• Counting rule. Entity counts are computed from published profiles in the directory. A profile that is unpublished, awaiting verification or missing core fields does not contribute to the count, which is why our totals are usually lower than a rough scraped figure for the same market.
• Currency. Financial rows are normalised to US dollars at the rate stated on the underlying profile, not re-converted on every page view, so a comparison stays stable between refreshes.
• Refresh. Country macro rows are reviewed on a periodic cycle; company rows change when the profile changes or when a company claims and corrects its own record. Two comparisons taken a month apart can therefore differ without anything being wrong.
• Selection is in the URL. The current comparison lives entirely in ?d= and ?ids=, which means you can bookmark it, paste it to a colleague, or link it from a document and it will render the same table for them.
• Fair use. Public profile fields compare without an account. Contact and full financial fields belong to the underlying profiles and follow the membership allowance on those pages.