Summary P&L
Choose the current and comparison period in each column header. Amounts in BDT crore; margin deltas in percentage points.
| BDT crore | Full year | Year to date | Month | ||||||
|---|---|---|---|---|---|---|---|---|---|
Current |
Comparison |
Δ | Current |
Comparison |
Δ | Current |
Comparison |
Δ | |
Line trend
Pick P&L lines and a period range. Amounts use the left axis (BDT crore); margins use the right axis (%).
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Margin bridge
How each line moved the margin from the base period to the current period. Each bar is the change in that line as a % of turnover; green lifts the margin, red cuts it.
Gross profit % bridge
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Net profit % bridge
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Summary P&L by complex
Base period, current period and the change, side by side. Amounts in BDT crore; margin changes in percentage points.
Line trend by complex
Each colour is one selection; each line style is one P&L line. Amounts on the left axis (BDT crore), margins on the right (%).
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Margin bridge by complex
Gross profit % bridge
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Net profit % bridge
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Detailed P&L
Full profit and loss for the units chosen in "Show figures for". Choose the current and comparison period in each column header.
| BDT crore | Full year | Year to date | Month | ||||||
|---|---|---|---|---|---|---|---|---|---|
Current |
Comparison |
Δ | Current |
Comparison |
Δ | Current |
Comparison |
Δ | |
Detailed P&L by complex
Base period, current period and the change, side by side, for every P&L line.
Turnover analysis
Why turnover moved between two periods: selling more or less (volume), a different customer and colour-depth mix (mix), and different prices (rate). Source: yearly sales files, in USD.
Turnover bridge
Turnover change by customer
Volume, mix and rate for selected customers
Turnover trend for selected customers
Turnover over time for the chosen customers or colour depths, in USD '000. Uses the Complex, Unit and Product line filters above.
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How the analysis works and data notes
Volume is the turnover change from selling more or fewer kg, valued at the base period's average rate. Mix is the effect of volume shifting between customers and colour depths that carry different rates. Rate is the price change on the same customer and colour depth, applied to current volume. The three always add up exactly to the turnover change.
Selected customers or colour depths: the third waterfall treats your selection on its own: volume is its own kg change at its own base rate, mix is the shift within the selection (between its customers and colour depths), and rate is the price change. Top 5, 10 and 15 are ranked by turnover across both periods.
A customer or colour depth with no sales in the base period has no base rate, so its sales count as mix rather than rate.
Billed weight: dyeing and finishing services are billed on grey weight and fabric sales on finish weight, so volume uses the billed weight. HTL Washing is billed per piece or dozen, collar and cuff fabric sales are priced per piece, and a few rows have no weight. These sales can't be split into volume and rate in kg, so they are left out of the three waterfalls (the amount is shown under the turnover bridge). They are fully included in the turnover trend.
Scope: the sales files cover Mymun's CCL Dyeing, HTL Dyeing, HTL Finishing, HTL Fabrics, HTL Washing and MTL Dyeing, in USD, so figures will not match P&L turnover. A few source rows have likely rate typos (for example an H&M row in May 2022 and a Next row in Sep 2023); they are kept as in the source.
Turnover analysis – DBTL
Why DBTL's turnover moved between two periods: selling more or less (volume), a different customer and print-type mix (mix), and different prices (rate). Source: DBTL sales file, Jan 2022 – Sep 2026, in USD.
Turnover bridge
Turnover change by customer
Volume, mix and rate for selected customers
Turnover trend for selected customers
Turnover over time for the chosen customers or print types, in USD '000. Uses the Complex, Unit and Product line filters above.
Show data table
How the analysis works and data notes
Volume is the turnover change from processing more or fewer kg, valued at the base period's average rate. Mix is the effect of volume shifting between customers and print types that carry different rates. Rate is the price change on the same customer and print type, applied to current volume. The three always add up exactly to the turnover change.
Selected customers or print types: the third waterfall treats your selection on its own: volume is its own kg change at its own base rate, mix is the shift within the selection, and rate is the price change. Top 5, 10 and 15 are ranked by turnover across both periods.
A customer or print type with no sales in the base period has no base rate, so its sales count as mix rather than rate.
Customer means: "Billed customer" is the party invoiced (for in-house sales, the group garment factory such as Flamingo or Jinnat; for subcontract, the outside factory). "Buyer (brand)" is the brand the order is for (H&M, Walmart, Next…). In-house invoices name buyers by their legal entity (for example "H & M HENNES & MAURITAZ GBC AB"), while subcontract rows use short names ("H&M"), so the same brand can appear twice.
Volume: the Qty column. For subcontract printing it is grey kg (amount = Qty × rate). For in-house printing and heat seating it is the invoiced quantity, treated as kg; the rate is amount ÷ Qty. Heat seating is a low-rate service (about USD 0.15–0.20 per kg) compared with printing (about USD 2–3 per kg), so a shift between them shows as mix.
Print type: recorded only on subcontract rows. In-house printing has no print type, so it is grouped as "IN-HOUSE AOP (TYPE NOT GIVEN)", and heat seating as "HEAT SEATING (IN-HOUSE)". One January 2026 credit note (USD −2,283) has no quantity, so it is left out of the waterfalls but included in the trend.
Scope: all rows are DBTL AOP (code 999101203306 — Fabric / Mymun / DBTL / AOP), in-house and subcontract, in USD. Figures will not match P&L turnover, which is in BDT.
Turnover analysis – Glory (GTAL)
Why Glory's turnover moved between two periods: selling more or less (volume), a different customer and product-line mix (mix), and different prices (rate). Source: Glory sales ledgers (dyeing and knitting), Mar 2025 – Sep 2026, in USD.
Turnover bridge
Turnover change by customer
Volume, mix and rate for selected customers
Turnover trend for selected customers
Turnover over time for the chosen customers or product lines, in USD '000. Uses the Complex, Unit and Product line filters above.
Show data table
How the analysis works and data notes
Volume is the turnover change from selling more or fewer kg, valued at the base period's average rate. Mix is the effect of volume shifting between customers and product lines (dyeing and knitting) that carry different rates. Rate is the price change on the same customer and product line, applied to current volume. The three always add up exactly to the turnover change.
Selected customers or product lines: the third waterfall treats your selection on its own: volume is its own kg change at its own base rate, mix is the shift within the selection, and rate is the price change. Top 5, 10 and 15 are ranked by turnover across both periods.
A customer or product line with no sales in the base period has no base rate, so its sales count as mix rather than rate.
Product line instead of product line: the Glory ledgers record no product line, so the second level of the analysis is product line. Knitting earns about USD 0.25–0.35 per kg against about USD 1.5 per kg for dyeing, so a shift between them shows as mix.
Currency: dyeing is mostly billed in USD and knitting in Taka. Taka bills are converted to USD at the ledgers' own rate (the Taka value they show for USD bills): 119 Tk per USD, and 118 from July to October 2025. Converted back to Taka, the totals tie to P&L turnover for knitting and are within about 2–3% for dyeing.
Customer means: "Ledger party" is the party name exactly as in the ledger, where the same company can appear with a tag such as (DBL), (HTL) or (Sub Cont). "Company" removes the tag and joins spelling variants, for example "Jinnat Knitwears Ltd.(DBL)" and "Jinnat Knitwear Ltd.". The "Ledger tag" filter uses the same tags.
Volume: Qty (KG). About 70 lines are in pieces (collar/cuff knitting) or yards (USD 18k in total); they are left out of the waterfalls and included in the trend.
Scope: Glory GTAL dyeing (999102206301) and knitting (999102206302). The ledgers run to 11 October 2026; October lines are left out so the tab stops at September 2026 like the rest of the dashboard.
Material analysis – HTL and MTL dyeing and finishing
Dyes and chemicals cost from recipe issues: what moved cost, why, and where to act. Source: MTL recipe costing, Jan 2025 – Sep 2026, in BDT.
Key findings and actions
Worked out from the selected process, filters and periods. Savings figures are indicative.
Material cost bridge
Bridge details
Trend of rate and cost
Cost per kg, cost or volume over time for units, buyers, colour depths, recipe types or dyes vs chemicals. Uses the filters at the top.
Dyes and chemicals: price and usage
Purchase price movement of the main items, and how much of each is used per kg of fabric.
Rework
Rework share of material cost
Rework cost by buyer, current period
How the analysis works and data notes
Utility analysis – Mymun complex
Power, steam and fuel cost of the Mymun units: what changed, why, and where the savings are. Source: Mymun utility data, Jul 2016 – Sep 2026, in BDT.
Key findings and actions
Worked out from the selected units and periods. Savings figures are indicative: they show the size of the prize, not a guaranteed result.
Utility cost bridge
Bridge details
By unit
Current period, with the change against the base period. Red means worse (higher cost or usage), green better. Hover a cell for the base value.
Power: where the electricity comes from and what it costs
Cost per kWh is fuel cost ÷ electricity received (generators) or the grid tariff (REB).
Cost per kWh by source
Share of electricity by source
Generator efficiency
Heat: boiler and direct fuel
Steam boilers, thermal oil boilers and direct use on the floor. Fuels are compared per gigajoule (GJ) of energy.
Cost per GJ by fuel
Share of heat energy by fuel
Steam
Energy mix over time and its cost impact
How the mix of energy sources, units and equipment moved, and what the change in mix did to cost. Uses the units selected at the top.
What the mix did to cost
Power cost per kWh by source
Heat cost per GJ by fuel
Trend
One line per selected unit, plus the total of the selection.
Energy prices
How the analysis works and data notes
Inventory – Fabric Division
Key findings and actions
Worked out from the filtered stock. Figures are BDT.
Where the stock sits
Closing stock at 30 Sep 2026 by unit, product line and stock type, BDT lakh. Bars show positive balances; the matrix shows book values, which include the negative fuel balances.
Closing stock matrix (BDT lakh)
Stock movement in September
Opening stock, receipts, issues and closing stock. BDT crore.
Stock flow
Days of cover
How fast the stock moves
Closing stock by time since the item was last issued. Old, unused stock ties up cash and risks obsolescence.
Item list
How this page works and data notes
Receivables – Mymun
Needs attention now
Worked out from the filtered receivables. Read top to bottom: biggest risks first.
Action list
Aging and status
How old the receivables are and where each bill is in the collection process. USD '000.
Status by age (USD '000)
Buyers
Who owes the most and how old it is. Click a column heading to sort.
Units
Receivables by unit and age. USD '000.
Age profile by unit
Unit summary
How this page works and data notes
Cash
This page is being prepared.
Dyeing capacity utilisation –
Key findings and actions
Worked out from the period and filters above.
Capacity, production and utilisation by month
Bars: production by floor (or unit); black line: capacity; dashed line: utilisation. The shaded months are the selected period.
Unit and floor
Production against capacity in the selected period. Tonnes.
By floor
Bulk and sample machines
Daily production against capacity
Bars: production; black line: capacity per day (each month's capacity spread over its days); dashed line: utilisation.
Machine performance
Utilisation of each machine in the selected period. Red under 50%, amber 50–80%, green 80–100%, blue above 100% (bottleneck).
Machine buckets: size × utilisation
Each machine is placed by its size (rated capacity) and its utilisation in the selected period, to show which group of machines pulls overall utilisation down.
Bucket matrix
Every machine: size against utilisation
By floor
Colour depth, process type, buyer and sub / own
Production, batch loading and cycle time in the selected period.
Production
Batch load and cycle time
Batch loading
Compare two periods
Side by side
What changed utilisation
Utilisation by floor and machine type
Production change by
Machines that lost most utilisation
Machines that gained most utilisation
How this page works and data notes
Meeting notes and action tracker
Needs attention
Open actions that are overdue or due within 7 days, most urgent first.
Who owns what
Open and closed actions per person, and when they fall due.
Actions by person
Deadlines
Action register
How this page works
Internal audit findings and follow-up
Needs attention
Open findings that are overdue, marked for immediate action or due within 30 days, highest risk first.
Summary by audit
Findings, risk and follow-up status for each audit report.
Findings by audit and follow-up status
Risk map
Owners, deadlines and risk areas
Who holds the open findings, when they fall due, and which risks they touch.
Findings by responsible person
Deadlines of open findings
Risk areas
Status reported by management
Findings register
Notes on the source reports and how this page works
Projects
This page is being prepared.
Dyes & chemicals stock – Mymun complex
Key findings and actions
Worked out from the filters above. Days cover = closing stock ÷ average daily consumption.
Stock status by unit
Inventory and days cover trend
Month-end stock and days cover since January 2024. The shaded month is the one selected at the top.
Closing stock and consumption
Days cover
How many days of stock each item holds
Closing stock value by days of cover. Under 15 days: plan replenishment; over 90 days: hold purchases; no consumption: review for use, transfer or disposal.
Item decision list
Item analysis
ABC classes by consumption value over the last 12 months, and the history of any item.
ABC classes
Item history
Rates
Price movement over time and the rate each unit pays for the same item.