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For multi-entity teams

Control legal-entity accounting, paired intercompany activity, and derived consolidation reporting without rewriting member ledgers.

Separate entities. Group visibility.Sample company

Northstar Parent

Revenue · separate USD ledger

$120,000

Northstar Services

Revenue · separate USD ledger

$80,000

Combined revenue

$200,000

Internal charge eliminated

−$12,000

External group revenue

$188,000

Derived report. Neither entity ledger is rewritten.

Can we see the group without obscuring each company's books?

  • Which entity owns this accounting record?

  • Have both intercompany sides been supported?

  • Which translation or elimination assumptions shape the group report?

A routine built around your work

Keep entity authority explicit

Select the entity for preparation, review and reporting rather than treating the workspace as one ledger.

Verify internal relationships

Check the paired due-to/due-from evidence and disclose partial states.

Review the derived group result

Inspect supported eliminations and approved currency authority without rewriting member ledgers.

Put it into context

Illustrative workflow, not customer data.

In a same-currency sample, two entity revenue views total $200,000 and include a $12,000 internal charge. The supported group elimination produces $188,000 external revenue; both original ledgers remain distinct.

AI explanations and forecasts require review. Authorized people and deterministic services retain approval, calculation, posting and close authority.

The connected areas to explore

Questions for multi-entity teams

Are entity records merged during consolidation?
No. Consolidation is derived reporting over explicit inputs, not a rewrite of member ledgers.
Can missing exchange rates be inferred?
No. Different-currency activity requires explicit supported and approved FX authority; unsupported inputs remain a limitation.

Availability depends on plan, permissions and configured data. OwnCents does not provide professional accounting, tax, legal or investment advice.

Explore the work before connecting your own data.

Explore a read-only sample company, or start with your own supported data.