Nano Dimension (NNDM) Shares Outstanding (2016 - 2026)
Nano Dimension (NNDM) posted Shares Outstanding of 209.34 million for Q2 2026, down 3.7% from 217.34 million a year earlier but up 0.9% from the prior quarter.
Nano Dimension (NNDM) Shares Outstanding (2016 - 2026) Analysis & Trends
For FY2025, Nano Dimension's Shares Outstanding came in at 215.74 million, down 1.2% from FY2024.
- Annual Shares Outstanding has declined for three consecutive years, though with a five-year compound annual growth rate of 38.1% (FY2020 to FY2025).
- In prior years, Nano Dimension's Shares Outstanding was 218.31 million in FY2024 (-12.0%), 248.02 million in FY2023 (-3.8%), 257.79 million in FY2022 (+4.2%) and 247.34 million in FY2021 (+475.9%).
- Quarterly Shares Outstanding has run from a low of 42.95 million in Q3 2021 to a high of 257.79 million in Q3 2023 over five years.
- On a year-over-year basis, Shares Outstanding has declined in each of the last 11 quarters, with an average decline of 7.8% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q3 2022, with growth of 475.9%; the weakest was Q3 2021, with a decline of 83.2%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 207.5 million (Q1 2026), 215.74 million (Q4 2025) and 217.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn | 460.40 Mn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn | 2.46 Bn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn | 269.80 Mn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn | 388.50 Mn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn | 126.30 Mn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn | 518.80 Mn |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn | 558.80 Mn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn | 286.40 Mn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn | 384.56 Mn |
| 10 | Nano Dimension | 291.80 Mn | -919.37 Mn | 13.29 Mn | 209.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 209.34 Mn |
| Mar 31, 2026 | 207.50 Mn |
| Dec 31, 2025 | 215.74 Mn |
| Sep 30, 2025 | 217.34 Mn |
| Jun 30, 2025 | 217.34 Mn |
| Mar 31, 2025 | 216.46 Mn |
| Dec 31, 2024 | 218.31 Mn |
| Sep 30, 2024 | 248.02 Mn |
| Jun 30, 2024 | 248.02 Mn |
| Mar 31, 2024 | 248.02 Mn |
| Dec 31, 2023 | 248.02 Mn |
| Sep 30, 2023 | 257.79 Mn |
| Jun 30, 2023 | 257.79 Mn |
| Mar 31, 2023 | 257.79 Mn |
| Dec 31, 2022 | 257.79 Mn |
| Sep 30, 2022 | 247.34 Mn |
| Jun 30, 2022 | 247.34 Mn |
| Mar 31, 2022 | 247.34 Mn |
| Dec 31, 2021 | 247.34 Mn |
| Sep 30, 2021 | 42.95 Mn |
Nano Dimension Shares Outstanding 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=shares-outstanding&ticker=NNDM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=NNDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();