StandardAero (SARO) Operating Expenses (2023 - 2026)
StandardAero's Operating Expenses came in at $75.6 million for Q2 2026, down 0.5% from $76 million a year earlier but up 5.1% from the prior quarter.
StandardAero (SARO) Operating Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, StandardAero reported Operating Expenses of $254.77 million, down 11.3% year-over-year; for FY2025, it was $247.7 million, down 3.0% from FY2024.
- Operating Expenses carries a three-year compound annual growth rate of 9.4% (FY2022 to FY2025).
- Going back by year, Operating Expenses was $255.47 million in FY2024 (+25.1%), $204.28 million in FY2023 (+7.9%) and $189.38 million in FY2022.
- The five-year range for quarterly Operating Expenses is $46.28 million (Q4 2025) to $82.4 million (Q4 2024).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 11.4%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 54.0%), and the weakest in Q4 2025 (a decline of 43.8%).
- Business Quant data shows SARO's Operating Expenses at $71.94 million (Q1 2026), $46.28 million (Q4 2025) and $60.94 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | StandardAero | 7.36 Bn | 6.70 Bn | 268.78 Mn | 75.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.60 Mn |
| Mar 31, 2026 | 71.94 Mn |
| Dec 31, 2025 | 46.28 Mn |
| Sep 30, 2025 | 60.94 Mn |
| Jun 30, 2025 | 76.00 Mn |
| Mar 31, 2025 | 64.48 Mn |
| Dec 31, 2024 | 82.40 Mn |
| Sep 30, 2024 | 64.22 Mn |
| Jun 30, 2024 | 56.24 Mn |
| Mar 31, 2024 | 52.61 Mn |
| Dec 31, 2023 | 53.50 Mn |
| Sep 30, 2023 | 54.55 Mn |
StandardAero 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=SARO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SARO", "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=SARO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();