Honeywell International (HON) Change in Accured Expenses (2009 - 2026)
Honeywell International's Change in Accured Expenses was $895 million in Q2 2026, up 61.6% from $554 million a year earlier.
Honeywell International (HON) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Honeywell International's Change in Accured Expenses was $983 million through Jun 30, 2026, unchanged year-over-year; for FY2025, it was $1.33 billion, up 468.7% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $233 million in FY2024 (-13.7%), $270 million in FY2023 (-24.4%), $357 million in FY2022 (-30.4%) and $513 million in FY2021 (-7.6%).
- The Q2 2026 figure marks the highest quarterly Change in Accured Expenses since Q4 2022.
- Compared with a year earlier, Change in Accured Expenses was higher in four of the last six quarters, with growth averaging 98.8%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q3 2024 (growth of 258.0%); the worst was Q4 2024 (a decline of 65.1%).
- Per Business Quant data, HON's Change in Accured Expenses in the three quarters before Q2 2026 was -$825 million (Q1 2026), $731 million (Q4 2025) and $182 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 2.10 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 190.00 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 41.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 82.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | -34.00 Mn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 895.00 Mn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | 301.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 895.00 Mn |
| Mar 31, 2026 | -825.00 Mn |
| Dec 31, 2025 | 731.00 Mn |
| Sep 30, 2025 | 182.00 Mn |
| Jun 30, 2025 | 554.00 Mn |
| Mar 31, 2025 | -142.00 Mn |
| Dec 31, 2024 | 213.00 Mn |
| Sep 30, 2024 | 358.00 Mn |
| Jun 30, 2024 | 227.00 Mn |
| Mar 31, 2024 | -565.00 Mn |
| Dec 31, 2023 | 610.00 Mn |
| Sep 30, 2023 | 100.00 Mn |
| Jun 30, 2023 | 143.00 Mn |
| Mar 31, 2023 | -583.00 Mn |
| Dec 31, 2022 | 1.18 Bn |
| Sep 30, 2022 | -80.00 Mn |
| Jun 30, 2022 | -139.00 Mn |
| Mar 31, 2022 | -602.00 Mn |
| Dec 31, 2021 | 407.00 Mn |
| Sep 30, 2021 | 362.00 Mn |
Honeywell International Change in Accured 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=change-in-accured-expenses&ticker=HON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "HON", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=HON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();