Fortive (FTV) Non Operating Interest Expenses (2016 - 2026)
Fortive (FTV) posted Non Operating Interest Expenses of $35.4 million for Q2 2026, up 10.3% from $32.1 million a year earlier.
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Analysis
Fortive (FTV) Non Operating Interest Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Non Operating Interest Expenses at Fortive was $188.4 million; for FY2025, it came in at $120.5 million.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- In prior years, Fortive's Non Operating Interest Expenses was -$152.8 million in FY2024, $123.5 million in FY2023, -$98.3 million in FY2022 and $103.2 million in FY2021 (-30.5%).
- Quarterly Non Operating Interest Expenses has run from a low of -$164.5 million in Q4 2022 to a high of $210 million in Q4 2025 over five years.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q1 2023, with growth of 70.7%; the weakest was Q1 2022, with a decline of 32.1%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was -$31.6 million (Q1 2026), $210 million (Q4 2025) and -$25.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 95.00 Mn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | - |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | 79.00 Mn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | 17.40 Mn |
| 10 | Fortive | 18.25 Bn | 16.71 Bn | 695.30 Mn | -35.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | -35.40 Mn |
| Apr 3, 2026 | -31.60 Mn |
| Dec 31, 2025 | 31.00 Mn |
| Sep 26, 2025 | -25.40 Mn |
| Jun 27, 2025 | 32.10 Mn |
| Mar 28, 2025 | 32.00 Mn |
| Dec 31, 2024 | 272.60 Mn |
| Sep 27, 2024 | -37.10 Mn |
| Jun 28, 2024 | -38.70 Mn |
| Mar 29, 2024 | -44.00 Mn |
| Dec 31, 2023 | 28.50 Mn |
| Sep 29, 2023 | 29.80 Mn |
| Jun 30, 2023 | 33.10 Mn |
| Mar 31, 2023 | 32.10 Mn |
| Dec 31, 2022 | 32.10 Mn |
| Sep 30, 2022 | 26.40 Mn |
| Jul 1, 2022 | 21.00 Mn |
| Apr 1, 2022 | 18.80 Mn |
| Dec 31, 2021 | 25.20 Mn |
| Oct 1, 2021 | 25.10 Mn |
API Access
Fortive Non Operating Interest 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=non-operating-interest-expenses&ticker=FTV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=FTV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();