NaaS Technology (NAAS) Short term Debt (2016 - 2026)
NaaS Technology's Short term Debt was $76.5 million in the quarter ended Jun 30, 2026.
Analysis
NaaS Technology (NAAS) Short term Debt (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, Short term Debt at NaaS Technology came in at $71.75 million, down 33.3% from the prior year.
- Short term Debt shows a five-year compound annual growth rate of 18.9% (years ended Dec 2020 to Dec 2025).
- In earlier years, Short term Debt was $107.58 million in the year ended Dec 31, 2024.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Short term Debt since the quarter ended Dec 31, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn |
| 10 | NaaS Technology | 704.04 Mn | 632.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.50 Mn |
| Dec 31, 2025 | 70.74 Mn |
| Dec 31, 2024 | 107.61 Mn |
| Aug 31, 2024 | 964,489.80 |
| Jun 30, 2021 | 30.94 Mn |
| Mar 31, 2021 | 30.32 Mn |
| Dec 31, 2020 | 29.74 Mn |
| Sep 30, 2020 | 34.75 Mn |
| Jun 30, 2020 | 19.25 Mn |
| Mar 31, 2020 | 22.01 Mn |
| Sep 30, 2019 | 19.25 Mn |
| Jun 30, 2019 | 12.00 Mn |
| Mar 31, 2019 | 12.00 Mn |
| Dec 31, 2018 | 11.93 Mn |
| Sep 30, 2018 | 13.75 Mn |
| Sep 30, 2017 | 37.06 Mn |
| Dec 31, 2016 | 5.60 Mn |
API Access
NaaS Technology Short term Debt 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=short-term-debt&ticker=NAAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=NAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();