> ## Documentation Index
> Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# AR Aging Buckets, Microsoft Dynamics 365

> AR Aging Buckets: A/R balance bucketed by 0-30 / 31-60 / 61-90 / 91-120 / 120+ days. Cash-flow telemetry. How to read it, why it matters, and how to act on it.

**Metrics type:** [Supporting Metrics](/nerve-centre/overview#metrics-types-explained)  •  **Category:** [Ecommerce Platform](/nerve-centre/connectors#connectors-by-type)

> A/R balance bucketed by 0-30 / 31-60 / 61-90 / 91-120 / 120+ days. Cash-flow telemetry.

## At a glance

> AR balance bucketed by Customer Ledger Entry due-date age: 0-30 / 31-60 / 61-90 / 91-120 / 120+ days. Cash-flow telemetry, aggregated headline alongside the [AR Aging Buckets](/nerve-centre/kpi-cards/microsoft-dynamics/a-r-aging-detail) per-customer card.

|                    |                                                                                                                         |
| ------------------ | ----------------------------------------------------------------------------------------------------------------------- |
| **What it counts** | Open Customer Ledger Entries (`Document Type = 'Invoice'`, `Open = TRUE`) bucketed by `Due Date` age relative to today. |
| **Tax treatment**  | Includes VAT (the AR balance is the gross amount the customer owes).                                                    |
| **Currency**       | Multi-Company: each Company's AR translated to Reporting Currency.                                                      |
| **Time window**    | `RT`                                                                                                                    |
| **Alert trigger**  | `>30% in 60+ bucket`                                                                                                    |
| **Sentiment key**  | `ar_aging`                                                                                                              |
| **Roles**          | owner, finance                                                                                                          |

## Calculation

Calculated automatically from your Microsoft Dynamics 365 data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.

## Worked example

US wholesale electronics distributor, \$90M revenue, snapshot 14 Apr 26.

| Bucket              | AR Balance (USD) | % of total |
| ------------------- | ---------------- | ---------- |
| 0-30 days (current) | \$6,840,000      | 60%        |
| 31-60 days          | \$2,420,000      | 21%        |
| 61-90 days          | \$1,180,000      | 10%        |
| 91-120 days         | \$620,000        | 5%         |
| 120+ days           | \$360,000        | 3%         |
| **Total Open AR**   | **\$11,420,000** | 100%       |

Three observations:

1. **18% of AR is past 60 days.** Just below the 30% alert threshold, but trending up from 14% three months ago.
2. **120+ bucket (\$360K) needs write-down review.** UK FRS 102 / US GAAP allowance for doubtful debts policies typically require provisions on AR > 120 days.
3. **Concentration check: 3 customers carry \$940K of the 60+ buckets.** Pair with [AR Aging Buckets](/nerve-centre/kpi-cards/microsoft-dynamics/a-r-aging-detail) for the per-customer drill.

## Sibling cards merchants should reference together

| Card                                                                                                  | Why pair it with Invoice Aging Summary |
| ----------------------------------------------------------------------------------------------------- | -------------------------------------- |
| [DSO](/nerve-centre/kpi-cards/microsoft-dynamics/days-sales-outstanding)                              | Aging summary translates into DSO.     |
| [AR Aging Buckets](/nerve-centre/kpi-cards/microsoft-dynamics/a-r-aging-detail)                       | Per-customer detail.                   |
| [Overdue Invoice Value](/nerve-centre/kpi-cards/microsoft-dynamics/overdue-invoice-value)             | Subset: invoices past Due Date.        |
| [Cash Application Rate](/nerve-centre/kpi-cards/microsoft-dynamics/cash-application-rate)             | Operations efficiency.                 |
| [Customer Credit Utilisation](/nerve-centre/kpi-cards/microsoft-dynamics/customer-credit-utilisation) | Predictive risk.                       |
| [High-Value Overdue Invoices](/nerve-centre/kpi-cards/microsoft-dynamics/high-value-overdue-invoices) | Alert on the worst rows.               |

## Reconciling against the vendor's own dashboard

**Where to look in Business Central:**

> **Reports > Finance > Customer > Aged Accounts Receivable** (definitive)
> **Power BI > Cash Flow content pack > Receivables Aging tile**
> **Customer List > Statistics FlowFields**

The Aged Accounts Receivable report matches this card to within rounding when run for the same Aging Periods (1M, 2M, 3M default).

**Why our buckets may legitimately differ:**

| Reason                        | Direction              | Why                                                                                                  |
| ----------------------------- | ---------------------- | ---------------------------------------------------------------------------------------------------- |
| **Bucket boundaries**         | Either                 | Card uses 30/60/90/120; BC defaults to "1M, 2M, 3M, prior" which is approximate.                     |
| **Aging-by date**             | Either                 | Card uses Due Date; BC reports can use Document Date, Posting Date, or Due Date. Configure to match. |
| **Multi-Company aggregation** | Card materially higher | Card consolidates.                                                                                   |
| **OData freshness**           | Card 15 min behind     | Customer Ledger Entries appear via OData within 15 minutes.                                          |

**Cross-connector reconciliation:**

This card has no commerce-side counterpart. AR aging is BC-internal.

## Known limitations / merchant FAQs

**What is healthy aging distribution?**
Net-30 B2B: 70% in current, 20% in 31-60, \< 10% in 61+. Net-60: shifted right by 30 days. Anything > 30% in 60+ is a collection problem.

**Aging by Due Date vs Posting Date: which does the card use?**
Due Date by default, since that is what determines whether an invoice is overdue. Configurable to Posting Date for merchants who track invoice issuance pace separately.

**Does the card include unposted Sales Invoices?**
No. Only posted Invoices (Customer Ledger Entries) count. Draft / unposted Invoices are not yet AR.

**How does this interact with DSO?**
DSO blends all buckets into one number; this card shows the distribution. Two merchants can have the same DSO with different aging shapes; the shape matters for action.

**Power BI parity?**
Power BI's Aging Receivables tile uses the same buckets per Company. Multi-Company consolidation requires custom DAX.

**Sales Credit Memos: how are they handled?**
SCMs that have not been applied against an invoice show as negative AR. The card excludes them from the buckets (they are not aged debts).

**Concentration risk: how to see which customers drive the buckets?**
Drill via [AR Aging Buckets](/nerve-centre/kpi-cards/microsoft-dynamics/a-r-aging-detail) per-customer card.

**Does this card include intercompany invoices?**
By default yes; can be excluded by Customer No. range in field map.

**What about Payments on account?**
Unapplied Payments reduce the customer's AR balance and net against the buckets. The card uses net Customer Ledger Entry remaining amount.

***

### Tracked live in Vortex IQ Nerve Centre

*Invoice Aging Summary* is one of hundreds of KPI pulses Vortex IQ tracks across Microsoft Dynamics 365 and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English.

[Start for free](https://app.vortexiq.ai/login) or [book a demo](https://www.vortexiq.ai/contact-us) to see this metric running on your own data.
