Skywest (SKYW) Operating Expenses (2010 - 2026)
Skywest's Operating Expenses came in at $946.92 million for Q2 2026, up 9.5% from $865.1 million a year earlier and up 6.5% from the prior quarter.
Skywest (SKYW) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Skywest reported Operating Expenses of $3.6 billion, up 10.6% year-over-year; for FY2025, it was $3.44 billion, up 13.4% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $3.03 billion in FY2024 (+7.1%), $2.83 billion in FY2023 (+0.3%), $2.82 billion in FY2022 (+15.8%) and $2.44 billion in FY2021 (+20.8%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2016.
- Year-over-year, Operating Expenses has increased for 12 consecutive quarters, with growth averaging 11.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 82.2%), and the weakest in Q4 2022 (a decline of 3.7%).
- Business Quant data shows SKYW's Operating Expenses at $889.49 million (Q1 2026), $890.29 million (Q4 2025) and $875.89 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | 4.10 Bn |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | 2.34 Bn |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | 16.58 Bn |
| 10 | Skywest | 3.57 Bn | 878.06 Mn | - | 946.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 946.92 Mn |
| Mar 31, 2026 | 889.49 Mn |
| Dec 31, 2025 | 890.29 Mn |
| Sep 30, 2025 | 875.89 Mn |
| Jun 30, 2025 | 865.10 Mn |
| Mar 31, 2025 | 809.08 Mn |
| Dec 31, 2024 | 800.33 Mn |
| Sep 30, 2024 | 781.35 Mn |
| Jun 30, 2024 | 747.48 Mn |
| Mar 31, 2024 | 704.11 Mn |
| Dec 31, 2023 | 724.17 Mn |
| Sep 30, 2023 | 716.88 Mn |
| Jun 30, 2023 | 693.78 Mn |
| Mar 31, 2023 | 696.54 Mn |
| Dec 31, 2022 | 716.31 Mn |
| Sep 30, 2022 | 713.87 Mn |
| Jun 30, 2022 | 710.48 Mn |
| Mar 31, 2022 | 683.10 Mn |
| Dec 31, 2021 | 744.21 Mn |
| Sep 30, 2021 | 697.73 Mn |
Skywest Operating Expenses 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=operating-expenses&ticker=SKYW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SKYW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SKYW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();