NaaS Technology (NAAS) Total Non-Current Liabilities (2016 - 2026)
NaaS Technology (NAAS) recorded Total Non-Current Liabilities of $8.02 million in the quarter ended Jun 30, 2026, down 38.2% from $12.97 million a year earlier.
NaaS Technology (NAAS) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, NaaS Technology reported Total Non-Current Liabilities of $11.74 million, up 57.6% from the prior year.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -36.8% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Non-Current Liabilities came in at $7.45 million in the year ended Dec 31, 2024 (-92.4%), $97.42 million in the year ended Dec 31, 2023 (+41.5%), $68.86 million in the year ended Dec 31, 2022 (+294.7%) and $17.45 million in the year ended Dec 31, 2021 (-85.0%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Total Non-Current Liabilities since the quarter ended Dec 31, 2024.
- On a year-over-year basis, Total Non-Current Liabilities rose in 1 of the last five quarters, with an average decline of 50.4%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 57.5% in the quarter ended Dec 31, 2025, against a decline of 99.4% in the quarter ended Jun 30, 2022 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 66.73 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 4.60 Bn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 2.80 Bn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 1.85 Bn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 3.14 Bn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | - |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 5.61 Bn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 1.60 Bn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 1.59 Bn |
| 10 | NaaS Technology | 100,615.50 | -45.28 Mn | - | 8.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.02 Mn |
| Dec 31, 2025 | 11.73 Mn |
| Jun 30, 2025 | 12.97 Mn |
| Dec 31, 2024 | 7.45 Mn |
| Sep 30, 2024 | 3.15 Mn |
| Jun 30, 2024 | 77.50 Mn |
| Mar 31, 2024 | 79.18 Mn |
| Dec 31, 2023 | 97.32 Mn |
| Sep 30, 2023 | 77.22 Mn |
| Jun 30, 2023 | 80.87 Mn |
| Mar 31, 2023 | 69.01 Mn |
| Dec 31, 2022 | 68.21 Mn |
| Jun 30, 2022 | 1.66 Mn |
| Dec 31, 2021 | 1.97 Mn |
| Jun 30, 2021 | 281.27 Mn |
| Mar 31, 2021 | 296.61 Mn |
| Dec 31, 2020 | 2.13 Mn |
| Sep 30, 2020 | 301.64 Mn |
| Jun 30, 2020 | 297.30 Mn |
| Mar 31, 2020 | 299.88 Mn |
NaaS Technology 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=NAAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NAAS", "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=NAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();