Nano Dimension (NNDM) Total Liabilities (2016 - 2026)
Nano Dimension's Total Liabilities came in at $75.28 million for Q2 2026, down 67.2% from $229.73 million a year earlier and down 14.2% from the prior quarter.
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Analysis
Nano Dimension (NNDM) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Nano Dimension's Total Liabilities was $86.24 million, up 106.4% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 31.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $41.79 million in FY2024 (-8.6%), $45.69 million in FY2023 (-9.5%), $50.5 million in FY2022 (+26.1%) and $40.06 million in FY2021 (+80.9%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q1 2025.
- Year-over-year, Total Liabilities increased in five of the last eight quarters, with growth averaging 84.3%.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2025 (growth of 464.1%), and the weakest in Q2 2026 (a decline of 67.2%).
- Business Quant data shows NNDM's Total Liabilities at $87.76 million (Q1 2026), $86.24 million (Q4 2025) and $89.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 31.92 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 11.14 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Nano Dimension | 298.31 Mn | -912.86 Mn | 13.29 Mn | 75.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.28 Mn |
| Mar 31, 2026 | 87.76 Mn |
| Dec 31, 2025 | 86.24 Mn |
| Sep 30, 2025 | 89.13 Mn |
| Jun 30, 2025 | 229.73 Mn |
| Mar 31, 2025 | 63.22 Mn |
| Dec 31, 2024 | 41.79 Mn |
| Sep 30, 2024 | 40.52 Mn |
| Jun 30, 2024 | 40.72 Mn |
| Mar 31, 2024 | 44.69 Mn |
| Dec 31, 2023 | 45.69 Mn |
| Sep 30, 2023 | -226.24 Mn |
| Jun 30, 2023 | 44.60 Mn |
| Mar 31, 2023 | 49.71 Mn |
| Dec 31, 2022 | 50.50 Mn |
| Sep 30, 2022 | 44.35 Mn |
| Jun 30, 2022 | -2.53 Bn |
| Mar 31, 2022 | 66.36 Mn |
| Dec 31, 2021 | 40.06 Mn |
| Sep 30, 2021 | 28.68 Mn |
API Access
Nano Dimension Total 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-liabilities&ticker=NNDM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=NNDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();