NaaS Technology (NAAS) Shares Outstanding (2016 - 2026)
NaaS Technology (NAAS) recorded Weighted Average Shares Outstanding of 70,890 in the quarter ended Jun 30, 2026, unchanged from 70,890 a year earlier.
NaaS Technology (NAAS) Shares Outstanding (2016 - 2026) Analysis & Trends
Starting with the quarter ended Sep 30, 2016, NaaS Technology's Weighted Average Shares Outstanding history includes 36 quarters.
- Annual Weighted Average Shares Outstanding has a five-year compound annual growth rate of 15.0% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 70,890 in the year ended Dec 31, 2024 (+368.1%), 15,145 in the year ended Dec 31, 2023 (-97.5%), 602,421 in the year ended Dec 31, 2022 and 35,271 in the year ended Dec 31, 2021 (unchanged).
- Quarterly Weighted Average Shares Outstanding has ranged from 15,145 in the quarter ended Dec 31, 2023 to 602,421 in the quarter ended Sep 30, 2023 over the past five years.
- On a year-over-year basis, Weighted Average Shares Outstanding rose in two of the last five quarters, with growth averaging 127.7%.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 368.1% in the quarter ended Jun 30, 2025, against a decline of 97.5% in the quarter ended Dec 31, 2023 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn | 266.00 Mn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn | 294.76 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn | 107.47 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn | 151.50 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn | 91.73 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn | 58.85 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn | 750.00 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn | 36.26 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn | 242.39 Mn |
| 10 | NaaS Technology | 100,615.50 | -45.28 Mn | - | 70,890.11 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70,890.11 |
| Dec 31, 2025 | 70,890.11 |
| Jun 30, 2025 | 70,890.11 |
| Dec 31, 2024 | 70,890.11 |
| Sep 30, 2024 | 15,144.96 |
| Jun 30, 2024 | 15,144.96 |
| Mar 31, 2024 | 15,144.96 |
| Dec 31, 2023 | 15,144.96 |
| Sep 30, 2023 | 602,420.84 |
| Jun 30, 2023 | 602,420.84 |
| Mar 31, 2023 | 602,420.84 |
| Dec 31, 2022 | 602,420.84 |
| Sep 30, 2022 | 35,271.42 |
| Jun 30, 2022 | 35,271.42 |
| Mar 31, 2022 | 35,271.42 |
| Dec 31, 2021 | 35,271.42 |
| Jun 30, 2021 | 35,254.07 |
| Mar 31, 2021 | 35,254.07 |
| Dec 31, 2020 | 35,254.07 |
| Sep 30, 2020 | 35,907.88 |
NaaS Technology Shares Outstanding 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=shares-outstanding&ticker=NAAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=NAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();