Curtiss Wright (CW) Accumulated Expenses (2009 - 2026)
Curtiss Wright's Accumulated Expenses was $216.54 million in Q2 2026, up 21.1% from $178.78 million a year earlier and up 6.5% from the prior quarter.
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Analysis
Curtiss Wright (CW) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Curtiss Wright came in at $242.94 million, up 10.9% from FY2024.
- Accumulated Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $219.05 million in FY2024 (+16.5%), $188.04 million in FY2023 (+7.8%), $174.44 million in FY2022 (+18.1%) and $147.7 million in FY2021 (+5.4%).
- Quarterly Accumulated Expenses has moved between $109.08 million (Q1 2022) and $242.94 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for 15 straight quarters, with growth averaging 13.5% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2023 (growth of 40.9%); the worst was Q3 2022 (a decline of 1.5%).
- Per Business Quant data, CW's Accumulated Expenses in the three quarters before Q2 2026 was $203.23 million (Q1 2026), $242.94 million (Q4 2025) and $227.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 303.54 Bn | 262.06 Bn | 5.02 Bn |
| 2 | Rtx | 262.72 Bn | 230.99 Bn | 5.81 Bn |
| 3 | Boeing | 148.13 Bn | 54.82 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 135.78 Bn | 122.50 Bn | 2.45 Bn |
| 5 | General Dynamics | 94.57 Bn | 81.69 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 79.37 Bn | 75.71 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 78.67 Bn | 66.13 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 77.61 Bn | 73.21 Bn | 951.00 Mn |
| 9 | Honeywell International | 69.07 Bn | 21.20 Bn | 3.65 Bn |
| 10 | Curtiss Wright | 17.50 Bn | 16.08 Bn | 364.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 216.54 Mn |
| Mar 31, 2026 | 203.23 Mn |
| Dec 31, 2025 | 242.94 Mn |
| Sep 30, 2025 | 227.62 Mn |
| Jun 30, 2025 | 178.78 Mn |
| Mar 31, 2025 | 180.80 Mn |
| Dec 31, 2024 | 219.05 Mn |
| Sep 30, 2024 | 194.41 Mn |
| Jun 30, 2024 | 158.51 Mn |
| Mar 31, 2024 | 158.09 Mn |
| Dec 31, 2023 | 188.04 Mn |
| Sep 30, 2023 | 188.50 Mn |
| Jun 30, 2023 | 144.07 Mn |
| Mar 31, 2023 | 153.68 Mn |
| Dec 31, 2022 | 174.44 Mn |
| Sep 30, 2022 | 139.98 Mn |
| Jun 30, 2022 | 133.71 Mn |
| Mar 31, 2022 | 109.08 Mn |
| Dec 31, 2021 | 147.70 Mn |
| Sep 30, 2021 | 142.17 Mn |
API Access
Curtiss Wright 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=CW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CW", "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=CW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();