Nano Dimension (NNDM) Inventory (2017 - 2026)
Nano Dimension (NNDM) posted Inventory of $28.25 million for Q2 2026, down 33.6% from $42.52 million a year earlier and down 10.9% from the prior quarter.
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Analysis
Nano Dimension (NNDM) Inventory (2017 - 2026) Analysis & Trends
At the end of FY2025, Nano Dimension's Inventory came in at $32.88 million, up 94.6% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 58.2% (FY2020 to FY2025).
- In prior years, Nano Dimension's Inventory was $16.9 million in FY2024 (-8.1%), $18.39 million in FY2023 (-5.2%), $19.4 million in FY2022 (+73.2%) and $11.2 million in FY2021 (+237.9%).
- The Q2 2026 figure stands as the lowest quarterly Inventory since Q1 2025.
- On a year-over-year basis, Inventory increased in four of the last eight quarters, with growth averaging 42.1%.
- The strongest year-over-year quarter for Inventory in the past five years was Q1 2022, with growth of 376.1%; the weakest was Q2 2026, with a decline of 33.6%.
- According to Business Quant data, Inventory for the three prior quarters was $31.7 million (Q1 2026), $32.88 million (Q4 2025) and $38.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 2.51 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 3.77 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 2.52 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Nano Dimension | 298.31 Mn | -912.86 Mn | 13.29 Mn | 28.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.25 Mn |
| Mar 31, 2026 | 31.70 Mn |
| Dec 31, 2025 | 32.88 Mn |
| Sep 30, 2025 | 38.62 Mn |
| Jun 30, 2025 | 42.52 Mn |
| Mar 31, 2025 | 16.83 Mn |
| Dec 31, 2024 | 16.90 Mn |
| Sep 30, 2024 | 19.51 Mn |
| Jun 30, 2024 | 19.29 Mn |
| Mar 31, 2024 | 19.70 Mn |
| Dec 31, 2023 | 18.39 Mn |
| Sep 30, 2023 | 21.28 Mn |
| Jun 30, 2023 | 19.55 Mn |
| Mar 31, 2023 | 20.04 Mn |
| Dec 31, 2022 | 19.40 Mn |
| Sep 30, 2022 | 17.84 Mn |
| Jun 30, 2022 | 15.98 Mn |
| Mar 31, 2022 | 15.06 Mn |
| Dec 31, 2021 | 11.20 Mn |
| Sep 30, 2021 | 4.04 Mn |
API Access
Nano Dimension Inventory 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=inventory&ticker=NNDM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=NNDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();