We counted every screening in 35 Cinesa cinemas since 24. September 2026. Tickets sold come from the public booking system, the same one you use to pick a seat. The report refreshes every day.
A cinema shows how many seats are taken. A shop shows how many units it has in stock. Skumio checks your competitors' stock levels several times a day and turns every drop into sales and revenue, product by product.
The check is free, with no account to create and no card to enter.
Each bar is the tickets sold for every screening in the month. You can see the pandemic, the audience coming back and the hits that carry a whole year.
Tickets day by day since counting began.
A booking system has to know how many seats are taken, so it shows it. Check it regularly, add it up, and you have the box office. Online shops do exactly the same with their stock levels, and Skumio turns them into your competitors' sales.
The check is free, with no account to create and no card to enter.
| # | Film | Tickets | Screenings | Per screening | Occupancy | Share |
|---|---|---|---|---|---|---|
| 1 | 26.416 | 228 | 115,9 | 63,9 % | 40,6 % | |
| 2 | 7.977 | 206 | 38,7 | 20,0 % | 12,2 % | |
| 3 | 7.860 | 123 | 63,9 | 38,3 % | 12,1 % | |
| 4 | 6.941 | 101 | 68,7 | 36,8 % | 10,7 % | |
| 5 | 6.684 | 34 | 196,6 | 73,4 % | 10,3 % | |
| 6 | 2.224 | 156 | 14,3 | 6,8 % | 3,4 % | |
| 7 | 1.536 | 66 | 23,3 | 15,6 % | 2,4 % | |
| 8 | 1.065 | 38 | 28,0 | 19,5 % | 1,6 % | |
| 9 | 795 | 67 | 11,9 | 8,4 % | 1,2 % | |
| 10 | 575 | 64 | 9,0 | 6,1 % | 0,9 % | |
| 11 | 455 | 28 | 16,3 | 12,0 % | 0,7 % | |
| 12 | 431 | 29 | 14,9 | 11,0 % | 0,7 % | |
| 13 | 342 | 39 | 8,8 | 6,0 % | 0,5 % | |
| 14 | 340 | 7 | 48,6 | 26,6 % | 0,5 % | |
| 15 | 251 | 13 | 19,3 | 16,0 % | 0,4 % |
Tickets by weekday and start time, last 12 full months. The darker the cell, the more tickets sold.
Since 24. September 2026. Tickets per seat show which cinema makes the most of what it has.
| # | Cinema | Screens | Tickets | Occupancy | Tickets per seat | Change y/y |
|---|---|---|---|---|---|---|
| 1 | Nassica 28906 - Getafe (Madrid) | - | 3.788 | 21,4 % | - | - |
| 2 | Príncipe Pío 28008 Madrid | - | 3.314 | 44,4 % | - | - |
| 3 | Parc Vallès 08223 Terrassa (Barcelona) | - | 2.888 | 25,4 % | - | - |
| 4 | Parquesur 28916 Leganés (Madrid) | - | 2.725 | 31,6 % | - | - |
| 5 | Méndez Álvaro | - | 2.644 | 35,8 % | - | - |
| 6 | Proyecciones | - | 2.605 | 41,6 % | - | - |
| 7 | Manoteras | - | 2.560 | 19,8 % | - | - |
| 8 | Diagonal Mar 08019 Barcelona | - | 2.558 | 35,8 % | - | - |
| 9 | Marineda City | - | 2.401 | 31,5 % | - | - |
| 10 | Las Rozas 28232 Las Rozas, Madrid | - | 2.286 | 16,8 % | - | - |
| 11 | Nueva Condomina 30100 Churra (Murcia) | - | 2.256 | 19,3 % | - | - |
| 12 | Mallorca Fashion Outlet 07141 Marratxí (Illes Balears) | - | 2.099 | 26,9 % | - | - |
| 13 | Bonaire Aldaia, Valencia | - | 2.090 | 42,7 % | - | - |
| 14 | Oasiz de Ardoz 28850 Madrid | - | 2.016 | 48,5 % | - | - |
| 15 | Salera 12006 Castellón de la Plana | - | 2.000 | 22,9 % | - | - |
| 16 | Xanadú Arroyomolinos Madrid | - | 1.890 | 42,1 % | - | - |
| 17 | Diagonal 08017 Barcelona | - | 1.868 | 23,5 % | - | - |
| 18 | Bahía de Santander 39011 Santander Cantabria | - | 1.779 | 26,3 % | - | - |
| 19 | As Cancelas 15703 Santiago de Compostela | - | 1.656 | 24,4 % | - | - |
| 20 | Zubiarte Leizaola, 2 48011- Bilbao | - | 1.542 | 35,7 % | - | - |
| 21 | SOM Multiespai 08016 Barcelona | - | 1.531 | 16,5 % | - | - |
| 22 | Loranca 28942 Fuenlabrada Madrid | - | 1.472 | 46,0 % | - | - |
| 23 | La Gavia 28051 Vallecas Madrid | - | 1.465 | 29,6 % | - | - |
| 24 | Equinoccio Majadahonda Madrid | - | 1.455 | 38,0 % | - | - |
| 25 | Camas 41900 - Camas, Sevilla | - | 1.338 | 22,9 % | - | - |
| 26 | Max Ocio Barakaldo, País Vasco | - | 1.279 | 13,3 % | - | - |
| 27 | Las Rosas 28032 San Blas (Madrid) | - | 1.232 | 21,9 % | - | - |
| 28 | Garbera 20017, Donostia (Gipuzkoa) | - | 1.191 | 44,2 % | - | - |
| 29 | Parque Principado 33420 Oviedo | - | 1.166 | 45,1 % | - | - |
| 30 | Puerto Venecia Local 2.03, 50021 Zaragoza | - | 1.154 | 17,5 % | - | - |
| 31 | Grancasa s/n, 50018 Zaragoza | - | 1.117 | 23,3 % | - | - |
| 32 | La Moraleja (Madrid) | - | 1.043 | 41,2 % | - | - |
| 33 | Urbil 20170 Usúrbil (Guipúzcua) | - | 1.031 | 23,8 % | - | - |
| 34 | Barnasud Barcelona | - | 892 | 47,0 % | - | - |
| 35 | La Farga 08901 L´hospitalet Barcelona | - | 793 | 43,6 % | - | - |
The ticket count is what the booking system itself publishes for every screening: a sold-seats counter or the taken seats on the room map. There is no model and no extrapolation.
These are 35 Cinesa cinemas, not the whole national box office. The report shows how this one chain is doing.
This chain shows only screenings that have not happened yet. We read the sold seats shortly before each screening, so tickets bought at the desk in the last minutes can be missed.
A screening that disappears from the programme is marked cancelled and left out of the totals, so tickets sold for it do not inflate the result.
A screening without a ticket count is treated as unknown, not empty. A month we have not downloaded in full is marked and left out of comparisons.
Where the booking system did not publish screen capacity (all of 2019 for this chain), occupancy is not computed. The ticket count is complete from 24. September 2026.
Source: the public booking API of the Cinesa cinema chain. Analysis: Skumio. This report is not affiliated with Cinesa or its owner. Generated 26. September 2026 um 01:12
Type a shop's address. Within a minute we show its platform, its product count and proof that we can read its stock levels.
The check is free, with no account to create and no card to enter.