Overview
P&L
By store
Productivity
Debt
Revenue — Feb 2026
€312,869
+18.4% vs Jan
EBITDA — Feb 2026
€70,510
22.5% margin
COGS — Feb 2026
23.8%
-4.0pp vs Jan (27.8%)
Personnel — Feb 2026
41.2%
-9.9pp vs Jan (51.1%)
Revenue by store — Jan vs Feb 2026
| Store | Jan 2026 | Feb 2026 | MoM % | Share |
|---|
| Milà |
€96,732 |
€99,243 |
+2.6% |
31.7% |
| Sant Pau |
€130,396 |
€130,322 |
-0.1% |
41.7% |
| Sant Joan |
€36,949 |
€83,304 |
+125.5% |
26.6% |
| Total |
€264,172 |
€312,869 |
+18.4% |
100% |
March 2026 data is partial (through ~Mar 15). March personnel expenses not yet available in Holded.
P&L statement — Jan vs Feb 2026
Source: Holded → BigQuery → Google Sheets P&L 2026. All % shown as share of operating revenue.
| Jan 2026 | % Rev | Feb 2026 | % Rev |
|---|
| Operating revenue | €264,172 | 100.0% | €312,869 | 100.0% |
| Physical store sales | €234,465 | 88.8% | €286,814 | 91.7% |
| B2B sales | €27,550 | 10.4% | €28,286 | 9.0% |
| E-commerce sales | €6,198 | 2.3% | €2,573 | 0.8% |
| Discounts | -€4,041 | -1.5% | -€4,805 | -1.5% |
| Cost of goods sold | -€73,546 | -27.8% | -€74,479 | -23.8% |
| Gross profit | €190,626 | 72.2% | €238,390 | 76.2% |
| Personnel expenses | -€135,005 | -51.1% | -€129,018 | -41.2% |
| Operating expenses | -€27,432 | -10.4% | -€38,862 | -12.4% |
| EBITDA | €28,189 | 10.7% | €70,510 | 22.5% |
| Financial results | -€2,188 | -0.8% | -€2,241 | -0.7% |
| Earnings before taxes | €26,001 | 9.8% | €68,269 | 21.8% |
P&L waterfall — February 2026
Store comparison — Jan vs Feb 2026
Milà — Feb
€99,243
31.7% of total · +2.6%
Sant Pau — Feb
€130,322
41.7% of total · -0.1%
Sant Joan — Feb
€83,304
26.6% of total · +125.5%
HQ (Admin) — Feb
—
Cost center only
P&L by store — February 2026
| Milà | Sant Pau | Sant Joan | HQ | Total |
|---|
| Revenue |
€99,243 |
€130,322 |
€83,304 |
— |
€312,869 |
| COGS |
TBD |
TBD |
TBD |
— |
-€74,479 |
| Personnel |
TBD |
TBD |
TBD |
TBD |
-€129,018 |
| OPEX |
TBD |
TBD |
TBD |
TBD |
-€38,862 |
| EBITDA |
TBD |
TBD |
TBD |
TBD |
€70,510 |
Per-store P&L breakdown will be populated once BigQuery tag_group mapping is validated for all cost categories.
Workforce productivity
Headcount (approx.)
~60
Across all locations
Rev / employee — Feb
—
Pending Skello data
€ / hour — Feb
—
Pending Skello data
Personnel as % Rev
41.2%
-9.9pp vs Jan
📊
Productivity dashboard — coming soon
This section will display hours worked vs revenue by store, planned vs actual shifts, and €/hour metrics once the Skello → BigQuery pipeline (P6) is fully operational.
Planned layout
| Store | Headcount | Hours worked | Revenue | € / hour | Personnel cost |
|---|
| Milà | — | — | €99,243 | — | — |
| Sant Pau | — | — | €130,322 | — | — |
| Sant Joan | — | — | €83,304 | — | — |
| HQ (Admin) | — | — | — | — | — |
| Total | ~60 | — | €312,869 | — | -€129,018 |
Debt overview
Total debt
—
Pending data
Leasings
—
Monthly installments
Shareholder loans
—
Intercompany
Debt by store
| Entity / Asset | Lender | Original | Outstanding | Monthly payment | Remaining |
|---|
| Milà |
| To be populated | — | — | — | — | — |
| Sant Pau |
| To be populated | — | — | — | — | — |
| Sant Joan |
| To be populated | — | — | — | — | — |
| HQ / Corporate |
| To be populated | — | — | — | — | — |
Debt data will be manually entered or pulled from Holded once the debt schedule is formalized. Each store has its own leasing and loan structure.