Jbt Marel (JBTM) Depreciation & Amortization (CF) (2010 - 2026)
Jbt Marel's Depreciation & Amortization (CF) was $66 million in Q2 2026, down 19.5% from $82 million a year earlier and down 2.9% from the prior quarter.
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Analysis
Jbt Marel (JBTM) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jbt Marel's Depreciation & Amortization (CF) was $271.4 million through Jun 30, 2026, up 108.3% year-over-year; for FY2025, it came in at $87.4 million, up 176.6% from FY2024.
- Depreciation & Amortization (CF) has now increased for three consecutive years, with a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $31.6 million in FY2024 (+2.6%), $30.8 million in FY2023 (+0.7%), $30.6 million in FY2022 (-3.5%) and $31.7 million in FY2021 (-6.2%).
- Quarterly Depreciation & Amortization (CF) has moved between -$38.5 million (Q4 2023) and $82 million (Q2 2025) over five years.
- Compared with a year earlier, Depreciation & Amortization (CF) was higher in four of the last six quarters, with growth averaging 97.2%.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q2 2025 (growth of 269.4%); the worst was Q2 2026 (a decline of 19.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn | 616.00 Mn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn | 341.40 Mn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn | 603.00 Mn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn | 399.00 Mn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn | 89.00 Mn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn | 336.00 Mn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn | 377.00 Mn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn | 82.00 Mn |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn | 39.40 Mn |
| 10 | Jbt Marel | 5.69 Bn | 5.10 Bn | 359.00 Mn | 66.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.00 Mn |
| Mar 31, 2026 | 68.00 Mn |
| Sep 30, 2025 | 55.40 Mn |
| Jun 30, 2025 | 82.00 Mn |
| Mar 31, 2025 | 61.00 Mn |
| Dec 31, 2024 | -34.90 Mn |
| Sep 30, 2024 | 22.20 Mn |
| Jun 30, 2024 | 22.20 Mn |
| Mar 31, 2024 | 22.10 Mn |
| Dec 31, 2023 | -38.50 Mn |
| Sep 30, 2023 | 23.10 Mn |
| Jun 30, 2023 | 23.50 Mn |
| Mar 31, 2023 | 22.70 Mn |
| Dec 31, 2022 | -24.80 Mn |
| Sep 30, 2022 | 18.80 Mn |
| Jun 30, 2022 | 16.70 Mn |
| Mar 31, 2022 | 19.90 Mn |
| Dec 31, 2021 | -24.90 Mn |
| Sep 30, 2021 | 20.00 Mn |
| Jun 30, 2021 | 18.30 Mn |
API Access
Jbt Marel Depreciation & Amortization (CF) 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-amortization-cf&ticker=JBTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "JBTM", "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-amortization-cf&ticker=JBTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();