Nano Dimension (NNDM) Total Non-Current Liabilities (2016 - 2025)
Nano Dimension (NNDM) posted Total Non-Current Liabilities of $11.8 million for Q1 2025, down 17.3% from $14.28 million a year earlier and down 4.6% from the prior quarter.
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Analysis
Nano Dimension (NNDM) Total Non-Current Liabilities (2016 - 2025) Analysis & Trends
At the end of FY2024, Nano Dimension's Total Non-Current Liabilities came in at $12.37 million, down 12.2% from FY2023.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 12.6% (FY2019 to FY2024).
- In prior years, Nano Dimension's Total Non-Current Liabilities was $14.08 million in FY2023 (-12.7%), $16.13 million in FY2022 (+17.5%), $13.73 million in FY2021 (-11.2%) and $15.45 million in FY2020 (+126.2%).
- The Q1 2025 figure stands as the lowest quarterly Total Non-Current Liabilities since Q3 2020.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last eight quarters, with an average decline of 17.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2021, with growth of 321.8%; the weakest was Q1 2024, with a decline of 71.3%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $12.37 million (Q4 2024), $12.69 million (Q3 2024) and $13.72 million (Q2 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 76.44 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 28.76 Bn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | - |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 23.44 Bn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 25.05 Bn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 18.30 Bn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | 8.26 Bn |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 12.22 Bn |
| 10 | Nano Dimension | 283.75 Mn | -942.43 Mn | 14.44 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 11.80 Mn |
| Dec 31, 2024 | 11.68 Mn |
| Sep 30, 2024 | 12.69 Mn |
| Jun 30, 2024 | 13.72 Mn |
| Mar 31, 2024 | 14.28 Mn |
| Dec 31, 2023 | 12.67 Mn |
| Sep 30, 2023 | 13.92 Mn |
| Jun 30, 2023 | 15.32 Mn |
| Mar 31, 2023 | 49.71 Mn |
| Dec 31, 2022 | 16.13 Mn |
| Sep 30, 2022 | 14.00 Mn |
| Jun 30, 2022 | 15.96 Mn |
| Mar 31, 2022 | 22.88 Mn |
| Dec 31, 2021 | 13.73 Mn |
| Sep 30, 2021 | 14.14 Mn |
| Jun 30, 2021 | 18.67 Mn |
| Mar 31, 2021 | 13.60 Mn |
| Dec 31, 2020 | 15.45 Mn |
| Sep 30, 2020 | 5.31 Mn |
| Jun 30, 2020 | 4.43 Mn |
API Access
Nano Dimension Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=NNDM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=NNDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();