Fortive (FTV) Change in Accured Expenses (2015 - 2026)
Fortive (FTV) reported Change in Accured Expenses of $3.7 million for Q2 2026, compared with -$54.6 million a year earlier.
Powered by 
Analysis
Fortive (FTV) Change in Accured Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, Fortive's Change in Accured Expenses came in at $79.8 million, up 280.0% year-over-year; for FY2025, it was $13 million.
- Change in Accured Expenses has a five-year compound annual growth rate of -26.3% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at -$26.8 million in FY2024, $26.7 million in FY2023 (-36.3%), $41.9 million in FY2022 (+48.1%) and $28.3 million in FY2021 (-52.8%).
- Five-year quarterly Change in Accured Expenses spans a low of -$103.3 million in Q1 2024 and a high of $119 million in Q3 2024.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 103.6%.
- The high point for year-over-year Change in Accured Expenses in five years was Q4 2025 (growth of 491.5%); the low point was Q2 2022 (a decline of 94.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$46.7 million (Q1 2026), $69.8 million (Q4 2025) and $53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 316.25 Bn | 287.95 Bn | 7.76 Bn | 715.00 Mn |
| 2 | Amphenol | 181.47 Bn | 176.05 Bn | 3.55 Bn | - |
| 3 | Deere | 172.60 Bn | 140.69 Bn | 4.66 Bn | 67.00 Mn |
| 4 | Eaton | 143.01 Bn | 140.20 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 111.22 Bn | 109.35 Bn | 2.25 Bn | - |
| 6 | 3M | 90.15 Bn | 71.59 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 89.90 Bn | 82.64 Bn | 2.66 Bn | 191.00 Mn |
| 8 | Illinois Tool Works | 78.95 Bn | 75.51 Bn | 1.90 Bn | 57.00 Mn |
| 9 | Vertiv Holdings | 74.37 Bn | 65.00 Bn | 1.23 Bn | 117.60 Mn |
| 10 | Fortive | 18.44 Bn | 16.91 Bn | 695.30 Mn | 3.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 3.70 Mn |
| Apr 3, 2026 | -46.70 Mn |
| Dec 31, 2025 | 69.80 Mn |
| Sep 26, 2025 | 53.00 Mn |
| Jun 27, 2025 | -54.60 Mn |
| Mar 28, 2025 | -55.20 Mn |
| Dec 31, 2024 | 11.80 Mn |
| Sep 27, 2024 | 119.00 Mn |
| Jun 28, 2024 | -54.30 Mn |
| Mar 29, 2024 | -103.30 Mn |
| Dec 31, 2023 | 71.50 Mn |
| Sep 29, 2023 | 73.50 Mn |
| Jun 30, 2023 | -40.30 Mn |
| Mar 31, 2023 | -78.00 Mn |
| Dec 31, 2022 | 53.60 Mn |
| Sep 30, 2022 | 17.90 Mn |
| Jul 1, 2022 | 1.60 Mn |
| Apr 1, 2022 | -31.20 Mn |
| Dec 31, 2021 | 23.40 Mn |
| Oct 1, 2021 | 58.20 Mn |
API Access
Fortive 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=FTV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "FTV", "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=FTV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();