Nano Dimension (NNDM) EBITDA Margin (2017 - 2026)
Nano Dimension (NNDM) recorded EBITDA Margin of -63.17% in Q2 2026, up 68.15 percentage points from -131.32% a year earlier and up 141.35 percentage points from the prior quarter.
Nano Dimension (NNDM) EBITDA Margin (2017 - 2026) Analysis & Trends
On a TTM basis, Nano Dimension's EBITDA Margin came in at -103.72% as of Jun 30, 2026, up 69.49 percentage points year-over-year; for FY2025, it came in at -117.02%, up 33.48 percentage points from FY2024.
- Annual EBITDA Margin has increased for five straight years, with a five-year change of +660.91 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at -150.50% in FY2024 (+75.63 pp), -226.14% in FY2023 (+157.86 pp), -384.00% in FY2022 (+119.43 pp) and -503.43% in FY2021 (+274.50 pp).
- Quarterly EBITDA Margin has ranged from -1180.15% in Q3 2021 to -56.46% in Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA Margin has increased for five consecutive quarters, with an average year-over-year change of +22.56 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 2599.99 percentage points in Q3 2021, against a drop of 192.95 percentage points in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -204.51% (Q1 2026), -56.46% (Q4 2025) and -98.04% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 23.35% |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 32.93% |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | 19.50% |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 22.95% |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 24.73% |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 28.77% |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 34.66% |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | 30.15% |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 25.35% |
| 10 | Nano Dimension | 283.75 Mn | -942.43 Mn | 14.44 Mn | -107.25% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -107.25% |
| Jun 30, 2026 | -63.17% |
| Mar 31, 2026 | -204.51% |
| Dec 31, 2025 | -102.20% |
| Sep 30, 2025 | -98.04% |
| Jun 30, 2025 | -131.32% |
| Mar 31, 2025 | -62.73% |
| Dec 31, 2024 | -202.51% |
| Sep 30, 2024 | -99.72% |
| Jun 30, 2024 | -107.55% |
| Mar 31, 2024 | -101.56% |
| Dec 31, 2023 | -156.62% |
| Sep 30, 2023 | -247.76% |
| Jun 30, 2023 | -159.52% |
| Mar 31, 2023 | -158.18% |
| Dec 31, 2022 | -199.37% |
| Sep 30, 2022 | -242.06% |
| Jun 30, 2022 | -191.44% |
| Mar 31, 2022 | -270.12% |
| Dec 31, 2021 | -250.33% |
Nano Dimension EBITDA Margin 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=ebitda-margin&ticker=NNDM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=NNDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();