Fortive (FTV) Depreciation and Depletion (2015 - 2026)
Fortive (FTV) reported Depreciation and Depletion of $22 million for Q2 2026, up 25.0% from $17.6 million a year earlier and up 7.8% from the prior quarter.
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Analysis
Fortive (FTV) Depreciation and Depletion (2015 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, Fortive's Depreciation and Depletion came in at $78.1 million, up 56.8% year-over-year; for FY2025, it was $70.1 million, up 13.8% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $61.6 million in FY2024 (+3.9%), $59.3 million in FY2023 (-29.0%), $83.5 million in FY2022 (+11.8%) and $74.7 million in FY2021 (+0.8%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation and Depletion since Q2 2024.
- Year over year, Depreciation and Depletion has now increased in each of the last three quarters, with growth averaging 1.8% over the last five quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q4 2021 (growth of 34.8%); the low point was Q1 2025 (a decline of 27.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $20.4 million (Q1 2026), $18.1 million (Q4 2025) and $17.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | - |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | - |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Fortive | 16.59 Bn | 15.06 Bn | 695.30 Mn | 22.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 22.00 Mn |
| Apr 3, 2026 | 20.40 Mn |
| Dec 31, 2025 | 18.10 Mn |
| Sep 26, 2025 | 17.60 Mn |
| Jun 27, 2025 | 17.60 Mn |
| Mar 28, 2025 | 16.80 Mn |
| Dec 31, 2024 | 15.90 Mn |
| Sep 27, 2024 | -500,000.00 |
| Jun 28, 2024 | 23.10 Mn |
| Mar 29, 2024 | 23.10 Mn |
| Dec 31, 2023 | -4.60 Mn |
| Sep 29, 2023 | 21.80 Mn |
| Jun 30, 2023 | 21.70 Mn |
| Mar 31, 2023 | 20.40 Mn |
| Dec 31, 2022 | 21.90 Mn |
| Sep 30, 2022 | 19.70 Mn |
| Jul 1, 2022 | 20.40 Mn |
| Apr 1, 2022 | 21.50 Mn |
| Dec 31, 2021 | 18.60 Mn |
| Oct 1, 2021 | 18.40 Mn |
API Access
Fortive Depreciation and Depletion 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=depreciation-and-depletion&ticker=FTV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=FTV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();