Nano Dimension (NNDM) Cash & Equivalents (2016 - 2026)
Nano Dimension's Cash & Equivalents came in at $349.11 million for Q2 2026, up 89.2% from $184.55 million a year earlier but down 1.7% from the prior quarter.
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Analysis
Nano Dimension (NNDM) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Nano Dimension's Cash & Equivalents was $204.67 million, down 35.5% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -19.0% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $317.17 million in FY2024 (+2.5%), $309.57 million in FY2023 (-63.7%), $853.63 million in FY2022 (unchanged) and $853.63 million in FY2021 (+45.8%).
- The five-year range for quarterly Cash & Equivalents is $184.55 million (Q2 2025) to $1.13 billion (Q3 2021).
- Year-over-year, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 10.7%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2025 (growth of 93.5%), and the weakest in Q3 2022 (a decline of 67.2%).
- Business Quant data shows NNDM's Cash & Equivalents at $355.28 million (Q1 2026), $204.67 million (Q4 2025) and $299.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 7.93 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 4.17 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 528.00 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 711.00 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 4.84 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.81 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 809.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 3.51 Bn |
| 10 | Nano Dimension | 263.65 Mn | -962.53 Mn | 14.44 Mn | 314.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 314.85 Mn |
| Jun 30, 2026 | 349.11 Mn |
| Mar 31, 2026 | 355.28 Mn |
| Dec 31, 2025 | 204.67 Mn |
| Sep 30, 2025 | 299.36 Mn |
| Jun 30, 2025 | 184.55 Mn |
| Mar 31, 2025 | 487.44 Mn |
| Dec 31, 2024 | 317.17 Mn |
| Sep 30, 2024 | 213.66 Mn |
| Jun 30, 2024 | 231.78 Mn |
| Mar 31, 2024 | 251.86 Mn |
| Dec 31, 2023 | 309.57 Mn |
| Sep 30, 2023 | 489.32 Mn |
| Jun 30, 2023 | 454.56 Mn |
| Mar 31, 2023 | 412.17 Mn |
| Dec 31, 2022 | 685.36 Mn |
| Sep 30, 2022 | 370.20 Mn |
| Jun 30, 2022 | 706.22 Mn |
| Mar 31, 2022 | 788.14 Mn |
| Dec 31, 2021 | 853.63 Mn |
API Access
Nano Dimension Cash & Equivalents 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=cash-and-equivalents&ticker=NNDM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NNDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();