Bristow (VTOL) Operating Expenses (2012 - 2026)
Bristow's Operating Expenses came in at $375.04 million for Q2 2026, up 10.2% from $340.18 million a year earlier and up 3.6% from the prior quarter.
Powered by 
Analysis
Bristow (VTOL) Operating Expenses (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bristow reported Operating Expenses of $1.43 billion, up 8.7% year-over-year; for FY2025, it was $1.35 billion, up 4.7% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.29 billion in FY2024 (+3.3%), $1.24 billion in FY2023 (+5.6%), $1.18 billion in FY2022 and $1.18 billion in FY2021.
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q2 2022.
- Year-over-year, Operating Expenses has increased for ten consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 0.5% (Q1 2025) to 14.2% (Q1 2026).
- Business Quant data shows VTOL's Operating Expenses at $362.18 million (Q1 2026), $345.37 million (Q4 2025) and $344 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 4.10 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Bristow | 1.25 Bn | 63.83 Mn | - | 375.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 375.04 Mn |
| Mar 31, 2026 | 362.18 Mn |
| Dec 31, 2025 | 345.37 Mn |
| Sep 30, 2025 | 344.00 Mn |
| Jun 30, 2025 | 340.18 Mn |
| Mar 31, 2025 | 317.13 Mn |
| Dec 31, 2024 | 322.98 Mn |
| Sep 30, 2024 | 331.99 Mn |
| Jun 30, 2024 | 315.41 Mn |
| Mar 31, 2024 | 315.57 Mn |
| Dec 31, 2023 | 319.33 Mn |
| Sep 30, 2023 | 313.37 Mn |
| Jun 30, 2023 | 311.92 Mn |
| Mar 31, 2023 | 300.33 Mn |
| Sep 30, 2022 | 296.58 Mn |
| Jun 30, 2022 | 288.85 Mn |
| Mar 31, 2022 | 290.91 Mn |
| Dec 31, 2021 | 290.68 Mn |
| Sep 30, 2021 | 287.33 Mn |
| Jun 30, 2021 | 289.88 Mn |
API Access
Bristow 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=VTOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VTOL", "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=VTOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();