Vail Resorts (MTN) Land & Improvements (2010 - 2026)
Vail Resorts' Land & Improvements came in at $809.55 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), up 0.9% from $802.65 million a year earlier and up 0.1% from the prior quarter.
Vail Resorts (MTN) Land & Improvements (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Vail Resorts' Land & Improvements was $804.67 million, unchanged from FY2024.
- Land & Improvements carries a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- Going back by fiscal year, Land & Improvements was $804.41 million in FY2024 (+1.0%), $796.73 million in FY2023 (+4.4%), $763.43 million in FY2022 (+0.9%) and $756.52 million in FY2021 (+0.8%).
- The fiscal Q3 2026 figure represents the highest quarterly Land & Improvements in data going back to fiscal Q4 2010.
- Year-over-year, Land & Improvements increased in five of the last eight quarters, with growth averaging 0.7%.
- The fastest year-over-year change in Land & Improvements over five years came in fiscal Q4 2023 (growth of 4.4%), and the weakest in fiscal Q2 2025 (a decline of 0.8%).
- Business Quant data shows MTN's Land & Improvements at $808.69 million (Q2 2026), $804.38 million (Q1 2026) and $804.67 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.50 Bn | 10.92 Bn | 1.48 Bn | - |
| 2 | DraftKings | 16.89 Bn | 12.55 Bn | 551.45 Mn | - |
| 3 | Flutter Entertainment | 12.94 Bn | 6.68 Bn | 1.71 Bn | - |
| 4 | Madison Square Garden Sports | 9.77 Bn | 9.37 Bn | 119.21 Mn | - |
| 5 | Life Time Group Holdings | 8.91 Bn | 8.14 Bn | 412.26 Mn | - |
| 6 | Wynn Resorts | 8.21 Bn | 1.77 Bn | 758.95 Mn | 1.24 Bn |
| 7 | MGM Resorts International | 7.81 Bn | -371.12 Mn | 1.98 Bn | - |
| 8 | Caesars Entertainment | 6.04 Bn | 2.66 Bn | 1.50 Bn | - |
| 9 | Super Group (SGHC) | 5.74 Bn | 3.73 Bn | - | - |
| 10 | Vail Resorts | 4.89 Bn | 3.60 Bn | - | 809.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 809.28 Mn |
| Apr 30, 2026 | 809.55 Mn |
| Jan 31, 2026 | 808.69 Mn |
| Oct 31, 2025 | 804.38 Mn |
| Jul 31, 2025 | 804.67 Mn |
| Apr 30, 2025 | 802.65 Mn |
| Jan 31, 2025 | 794.14 Mn |
| Oct 31, 2024 | 805.23 Mn |
| Jul 31, 2024 | 804.41 Mn |
| Apr 30, 2024 | 797.47 Mn |
| Jan 31, 2024 | 800.46 Mn |
| Oct 31, 2023 | 790.55 Mn |
| Jul 31, 2023 | 796.73 Mn |
| Apr 30, 2023 | 791.85 Mn |
| Jan 31, 2023 | 793.27 Mn |
| Oct 31, 2022 | 780.98 Mn |
| Jul 31, 2022 | 763.43 Mn |
| Apr 30, 2022 | 766.42 Mn |
| Jan 31, 2022 | 767.43 Mn |
| Oct 31, 2021 | 757.63 Mn |
Vail Resorts Land & Improvements API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=land-and-improvements&ticker=MTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "MTN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=MTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();