StandardAero (SARO) Inventory (2023 - 2026)
StandardAero (SARO) recorded Inventory of $772.1 million in Q2 2026, down 9.3% from $851.6 million a year earlier but up 1.2% from the prior quarter.
Analysis
StandardAero (SARO) Inventory (2023 - 2026) Analysis & Trends
At the end of FY2025, StandardAero reported Inventory of $827.69 million, down 2.3% from FY2024.
- Across earlier years, Inventory came in at $847.02 million in FY2024 (+21.2%) and $698.8 million in FY2023.
- Quarterly Inventory has ranged from $698.8 million in Q4 2023 to $956.73 million in Q3 2025 over the past five years.
- On a year-over-year basis, Inventory has declined for three consecutive quarters, with growth averaging 3.9% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at $762.63 million (Q1 2026), $827.69 million (Q4 2025) and $956.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 12.44 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 14.41 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 88.39 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 4.41 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 2.18 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 9.10 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 1.33 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.42 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 6.40 Bn |
| 10 | StandardAero | 7.36 Bn | 6.70 Bn | 268.78 Mn | 772.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 772.10 Mn |
| Mar 31, 2026 | 762.63 Mn |
| Dec 31, 2025 | 827.69 Mn |
| Sep 30, 2025 | 956.73 Mn |
| Jun 30, 2025 | 851.60 Mn |
| Mar 31, 2025 | 875.84 Mn |
| Dec 31, 2024 | 847.02 Mn |
| Sep 30, 2024 | 778.45 Mn |
| Dec 31, 2023 | 698.80 Mn |
API Access
StandardAero Inventory 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=inventory&ticker=SARO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SARO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();