StandardAero (SARO) Accumulated Expenses (2023 - 2026)
StandardAero's Accumulated Expenses came in at $263.19 million for Q2 2026, up 157.5% from $102.2 million a year earlier and up 196.1% from the prior quarter.
StandardAero (SARO) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, StandardAero's Accumulated Expenses was $91.5 million, down 8.1% from FY2024.
- Going back by year, Accumulated Expenses was $99.57 million in FY2024 (-14.2%) and $116 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- Year-over-year, Accumulated Expenses increased in 1 of the last five quarters, with growth averaging 20.2%.
- Business Quant data shows SARO's Accumulated Expenses at $88.89 million (Q1 2026), $91.5 million (Q4 2025) and $92.83 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | StandardAero | 7.07 Bn | 6.42 Bn | 268.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 263.19 Mn |
| Mar 31, 2026 | 88.89 Mn |
| Dec 31, 2025 | 91.50 Mn |
| Sep 30, 2025 | 92.83 Mn |
| Jun 30, 2025 | 102.20 Mn |
| Mar 31, 2025 | 104.22 Mn |
| Dec 31, 2024 | 99.57 Mn |
| Sep 30, 2024 | 115.38 Mn |
| Dec 31, 2023 | 116.00 Mn |
StandardAero Accumulated 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=accumulated-expenses&ticker=SARO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SARO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();