Fortive (FTV) Total Non-Current Liabilities (2015 - 2026)
Fortive (FTV) reported Total Non-Current Liabilities of $4.8 billion for Q2 2026, down 27.9% from $6.65 billion a year earlier but up 0.4% from the prior quarter.
Fortive (FTV) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Fortive posted Total Non-Current Liabilities of $4.55 billion, down 23.8% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $5.97 billion in FY2024 (+9.9%), $5.44 billion in FY2023 (+9.2%), $4.98 billion in FY2022 (-9.8%) and $5.52 billion in FY2021 (-5.5%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $4.4 billion in Q3 2023 and a high of $6.65 billion in Q2 2025.
- Year over year, Total Non-Current Liabilities has now declined in each of the last four quarters, with an average decline of 3.4% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2022 (growth of 30.3%); the low point was Q3 2021 (a decline of 43.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.77 billion (Q1 2026), $4.55 billion (Q4 2025) and $4.59 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Fortive | 16.59 Bn | 15.06 Bn | 695.30 Mn | 4.80 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 4.80 Bn |
| Apr 3, 2026 | 4.77 Bn |
| Dec 31, 2025 | 4.55 Bn |
| Sep 26, 2025 | 4.59 Bn |
| Jun 27, 2025 | 6.65 Bn |
| Mar 28, 2025 | 5.65 Bn |
| Dec 31, 2024 | 5.97 Bn |
| Sep 27, 2024 | 5.55 Bn |
| Jun 28, 2024 | 5.44 Bn |
| Mar 29, 2024 | 5.68 Bn |
| Dec 31, 2023 | 5.44 Bn |
| Sep 29, 2023 | 4.40 Bn |
| Jun 30, 2023 | 4.56 Bn |
| Mar 31, 2023 | 4.72 Bn |
| Dec 31, 2022 | 4.98 Bn |
| Sep 30, 2022 | 5.15 Bn |
| Jul 1, 2022 | 5.29 Bn |
| Apr 1, 2022 | 5.30 Bn |
| Dec 31, 2021 | 5.52 Bn |
| Oct 1, 2021 | 4.46 Bn |
Fortive Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=FTV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FTV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();