Nano Dimension (NNDM) Depreciation & Amortization - Total (2023 - 2024)
Nano Dimension's Depreciation & Amortization - Total was -$2.4 million in Q4 2024, compared with $1.99 million a year earlier.
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Analysis
Nano Dimension (NNDM) Depreciation & Amortization - Total (2023 - 2024) Analysis & Trends
For FY2024, Depreciation & Amortization - Total at Nano Dimension came in at $2.56 million, up 29.9% from FY2023.
- In earlier years, Depreciation & Amortization - Total was $1.97 million in FY2023 (+15.2%) and $1.71 million in FY2022.
- Per Business Quant data, NNDM's Depreciation & Amortization - Total in the three quarters before Q4 2024 was $1.53 million (Q3 2024), $1.37 million (Q2 2024) and $2.07 million (Q1 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | - |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | - |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | - |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | - |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | - |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | - |
| 10 | Nano Dimension | 263.65 Mn | -962.53 Mn | 14.44 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -2.40 Mn |
| Sep 30, 2024 | 1.53 Mn |
| Jun 30, 2024 | 1.37 Mn |
| Mar 31, 2024 | 2.07 Mn |
| Dec 31, 2023 | 1.99 Mn |
| Sep 30, 2023 | 1.59 Mn |
| Jun 30, 2023 | 1.54 Mn |
API Access
Nano Dimension Depreciation & Amortization - Total 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-total&ticker=NNDM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "NNDM", "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-total&ticker=NNDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();