Nano Dimension (NNDM) Current Assets (2016 - 2026)
Nano Dimension (NNDM) posted Current Assets of $497.13 million for Q2 2026, down 24.4% from $657.25 million a year earlier and down 1.6% from the prior quarter.
Nano Dimension (NNDM) Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, Nano Dimension's Current Assets came in at $525.81 million, down 33.4% from FY2024.
- Annual Current Assets has declined for four consecutive years, with a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- In prior years, Nano Dimension's Current Assets was $789.33 million in FY2024 (-11.7%), $893.99 million in FY2023 (-16.0%), $1.06 billion in FY2022 (-18.9%) and $1.31 billion in FY2021 (+94.0%).
- The Q2 2026 figure stands as the lowest quarterly Current Assets since Q3 2020.
- On a year-over-year basis, Current Assets has declined in each of the last 18 quarters, with an average decline of 21.0% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was Q4 2021, with growth of 94.0%; the weakest was Q1 2026, with a decline of 35.1%.
- According to Business Quant data, Current Assets for the three prior quarters was $505.4 million (Q1 2026), $525.81 million (Q4 2025) and $582.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.06 Bn | 304.75 Bn | 7.76 Bn | 54.45 Bn |
| 2 | Amphenol | 194.08 Bn | 188.66 Bn | 3.55 Bn | 17.82 Bn |
| 3 | Deere | 171.30 Bn | 139.40 Bn | 4.66 Bn | - |
| 4 | Eaton | 147.99 Bn | 145.17 Bn | 2.86 Bn | 14.77 Bn |
| 5 | Parker-Hannifin | 118.35 Bn | 116.47 Bn | 2.25 Bn | 7.70 Bn |
| 6 | 3M | 89.56 Bn | 70.96 Bn | 2.68 Bn | 14.11 Bn |
| 7 | Emerson Electric | 88.91 Bn | 81.64 Bn | 2.66 Bn | 9.66 Bn |
| 8 | Vertiv Holdings | 78.39 Bn | 69.01 Bn | 1.23 Bn | 9.98 Bn |
| 9 | Illinois Tool Works | 78.18 Bn | 74.73 Bn | 1.90 Bn | 6.60 Bn |
| 10 | Nano Dimension | 295.17 Mn | -916.00 Mn | 13.29 Mn | 497.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 497.13 Mn |
| Mar 31, 2026 | 505.40 Mn |
| Dec 31, 2025 | 525.81 Mn |
| Sep 30, 2025 | 582.21 Mn |
| Jun 30, 2025 | 657.25 Mn |
| Mar 31, 2025 | 778.93 Mn |
| Dec 31, 2024 | 789.33 Mn |
| Sep 30, 2024 | 797.64 Mn |
| Jun 30, 2024 | 800.45 Mn |
| Mar 31, 2024 | 831.04 Mn |
| Dec 31, 2023 | 893.99 Mn |
| Sep 30, 2023 | 909.17 Mn |
| Jun 30, 2023 | 991.89 Mn |
| Mar 31, 2023 | 1.02 Bn |
| Dec 31, 2022 | 1.06 Bn |
| Sep 30, 2022 | 1.05 Bn |
| Jun 30, 2022 | 1.27 Bn |
| Mar 31, 2022 | 1.28 Bn |
| Dec 31, 2021 | 1.31 Bn |
| Sep 30, 2021 | 1.39 Bn |
Nano Dimension 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=current-assets&ticker=NNDM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=NNDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();