Nano Dimension (NNDM) Other Operating Expenses (2016 - 2026)
Nano Dimension (NNDM) posted Other Operating Expenses of -$8,000 for Q2 2026, compared with -$56,000 a year earlier.
Nano Dimension (NNDM) Other Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Nano Dimension was -$16.04 million; for FY2025, it was -$479,000.
- In prior years, Nano Dimension's Other Operating Expenses was $486,000 in FY2024 (-70.1%), $1.63 million in FY2023, -$171.27 million in FY2022 and -$223.21 million in FY2021.
- Quarterly Other Operating Expenses has run from a low of -$169.24 million in Q4 2021 to a high of $10.1 million in Q3 2025 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn |
| 10 | Nano Dimension | 291.80 Mn | -919.37 Mn | 13.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8,000.00 |
| Sep 30, 2025 | 16.51 Mn |
| Jun 30, 2025 | -56,000.00 |
| Mar 31, 2025 | -40.09 Mn |
| Dec 31, 2024 | -26.34 Mn |
| Sep 30, 2024 | -20.28 Mn |
| Jun 30, 2024 | -20.84 Mn |
| Mar 31, 2024 | -18.97 Mn |
| Dec 31, 2023 | -27.27 Mn |
| Sep 30, 2023 | -35.98 Mn |
| Jun 30, 2023 | -30.43 Mn |
| Mar 31, 2023 | -31.20 Mn |
| Dec 31, 2022 | -72.69 Mn |
| Sep 30, 2022 | -33.81 Mn |
| Jun 30, 2022 | -32.11 Mn |
| Mar 31, 2022 | -32.92 Mn |
| Dec 31, 2021 | -169.24 Mn |
| Sep 30, 2021 | -24.51 Mn |
| Jun 30, 2021 | -19.86 Mn |
| Mar 31, 2021 | -9.61 Mn |
Nano Dimension Other Operating Expenses 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=other-operating-expenses&ticker=NNDM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=NNDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();