Nano Dimension (NNDM) Long-Term Debt Issuances (2021 - 2023)
Nano Dimension (NNDM) recorded Long-Term Debt Issuances of $805.5 million in FY2021, up 19.1% from $676.13 million in FY2020.
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Analysis
Nano Dimension (NNDM) Long-Term Debt Issuances (2021 - 2023) Analysis & Trends
Starting with FY2017, Nano Dimension's Long-Term Debt Issuances history includes 5 years.
- Annual Long-Term Debt Issuances has a four-year compound annual growth rate of 183.8% (FY2017 to FY2021).
- The FY2021 figure is the highest annual Long-Term Debt Issuances in data going back to FY2017.
- Per Business Quant data, NNDM's Long-Term Debt Issuances was $676.13 million in FY2020, $14.37 million in FY2019 (+15.2%), $12.47 million in FY2018 (+0.4%) and $12.42 million in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 3.46 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | - |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 1.92 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 11.00 Mn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | - |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | - |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | - |
| 10 | Nano Dimension | 298.31 Mn | -912.86 Mn | 13.29 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 539,000.00 |
| Sep 30, 2022 | 510,000.00 |
| Dec 31, 2021 | 354,000.00 |
| Sep 30, 2021 | 590,000.00 |
API Access
Nano Dimension Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=NNDM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=NNDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();