# Revenue | Room Low | Room Mid | Room High | | -------------- | -------------- | -------------- | | 110€ per night | 130€ per night | 160€ per night | | Half Board Low | Half Board Mid | Half Board High | | -------------- | -------------- | --------------- | | 200€ per night | 220€ per night | 250€ per night | | All-Inclusive Low | All-Inclusive Mid | All-Inclusive High | | ----------------- | ----------------- | ------------------ | | 300€ per night | 320€ per night | 350€ per night | The average price per night in low season - 203€ (3 Months) The average price per night in mid-season - 226€ (5 Months) The average price per night in High season - 323€ (4 Months) In recent years, interest in the Canary Islands has surged, leading to a shortage of available accommodations. This scarcity is exacerbated by government regulations restricting new construction in protected areas. Consequently, securing lodging during peak periods can prove to be a daunting task for last-minute travelers. Based on this we estimate at least **80%** occupancy throughout the seasons. Meaning: **Low Season** is estimated to be 90 days, with 80% occupancy we expect 72 days to be fully booked giving us 72x203€ p/n = 14,616€ per room x 7 rooms = **102,312€** **Mid-Season** is estimated to be 150 days, with 80% occupancy we expect 120 days to be fully booked giving us 120x226€ p/n = 27,120€ per room x 7 rooms = **189,840€** **High Season** is estimated to be 125 days, with 80% occupancy we expect 100 days to be fully booked giving us 100x323€ p/n = 32,300€ per room x 7 rooms = **226,100€** **TOTALING - 102,312€ + 189,840€ + 226,100€ = 518,252€ in Revenue** --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://sol-richie.gitbook.io/sol-richie-nft-whitepaper/business/revenue.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.