Nano Dimension (NNDM) Non-Current Assets (2016 - 2026)
Nano Dimension's Non-Current Assets came in at $59.64 million for Q2 2026, down 74.2% from $231.59 million a year earlier and down 12.0% from the prior quarter.
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Analysis
Nano Dimension (NNDM) Non-Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Nano Dimension's Non-Current Assets was $112.42 million, down 0.7% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 53.7% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $113.21 million in FY2024 (-33.7%), $170.64 million in FY2023 (+22.6%), $139.14 million in FY2022 (+78.2%) and $78.06 million in FY2021 (+495.6%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets since Q4 2020.
- Year-over-year, Non-Current Assets has declined for four consecutive quarters, with an average decline of 11.5% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2021 (growth of 528.6%), and the weakest in Q2 2026 (a decline of 74.2%).
- Business Quant data shows NNDM's Non-Current Assets at $67.81 million (Q1 2026), $112.42 million (Q4 2025) and $109.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 32.55 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 20.81 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 5.92 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 9.89 Bn |
| 10 | Nano Dimension | 298.31 Mn | -912.86 Mn | 13.29 Mn | 59.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.64 Mn |
| Mar 31, 2026 | 67.81 Mn |
| Dec 31, 2025 | 112.42 Mn |
| Sep 30, 2025 | 109.73 Mn |
| Jun 30, 2025 | 231.59 Mn |
| Mar 31, 2025 | 119.30 Mn |
| Dec 31, 2024 | 113.21 Mn |
| Sep 30, 2024 | 110.49 Mn |
| Jun 30, 2024 | 110.53 Mn |
| Mar 31, 2024 | 142.93 Mn |
| Dec 31, 2023 | 170.64 Mn |
| Sep 30, 2023 | 163.90 Mn |
| Jun 30, 2023 | 202.27 Mn |
| Mar 31, 2023 | 187.81 Mn |
| Dec 31, 2022 | 139.14 Mn |
| Sep 30, 2022 | 228.85 Mn |
| Jun 30, 2022 | 76.02 Mn |
| Mar 31, 2022 | 110.97 Mn |
| Dec 31, 2021 | 78.06 Mn |
| Sep 30, 2021 | 129.64 Mn |
API Access
Nano Dimension Non-Current Assets 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-current-assets&ticker=NNDM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=NNDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();