Sky Harbour (SKYH) EBITDA (2021 - 2026)
Sky Harbour (SKYH) posted EBITDA of -$4.31 million for Q2 2026, compared with -$5.95 million a year earlier.
Analysis
Sky Harbour (SKYH) EBITDA (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Sky Harbour was -$19.79 million; for FY2025, it was -$21.16 million.
- In prior years, Sky Harbour's EBITDA was -$17.51 million in FY2024, -$14.72 million in FY2023, -$18.16 million in FY2022 and $3.92 million in FY2021.
- Quarterly EBITDA has run from a low of -$5.95 million in Q2 2025 to a high of $274,779 in Q4 2021 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | 1.06 Bn |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 1.78 Bn |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 1.28 Bn |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 732.77 Mn |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | 1.47 Bn |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | 667.45 Mn |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | 591.18 Mn |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | 568.53 Mn |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | 451.46 Mn |
| 10 | Sky Harbour | 364.21 Mn | 45.60 Mn | - | -3.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.31 Mn |
| Dec 31, 2025 | -3.76 Mn |
| Sep 30, 2025 | -5.78 Mn |
| Jun 30, 2025 | -5.95 Mn |
| Mar 31, 2025 | -5.72 Mn |
| Dec 31, 2024 | -4.48 Mn |
| Sep 30, 2024 | -4.17 Mn |
| Jun 30, 2024 | -4.32 Mn |
| Mar 31, 2024 | -4.60 Mn |
| Dec 31, 2023 | -4.04 Mn |
| Sep 30, 2023 | -2.73 Mn |
| Jun 30, 2023 | -3.72 Mn |
| Mar 31, 2023 | -4.23 Mn |
| Dec 31, 2022 | -3.36 Mn |
| Sep 30, 2022 | -4.40 Mn |
| Jun 30, 2022 | -4.97 Mn |
| Mar 31, 2022 | -5.43 Mn |
| Dec 31, 2021 | 274,779.00 |
| Sep 30, 2021 | -2.96 Mn |
| Jun 30, 2021 | 1.88 Mn |
API Access
Sky Harbour EBITDA 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=ebitda&ticker=SKYH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "SKYH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=SKYH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();