Nio (NIO) Shares Outstanding (Diluted) (2017 - 2026)
Nio's Weighted Average Shares Outstanding (Diluted) came in at 2.27 billion for Q2 2026, up 10.6% from 2.05 billion a year earlier and unchanged from the prior quarter.
Nio (NIO) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
Going back to Q3 2017, Nio's Weighted Average Shares Outstanding (Diluted) data covers 36 quarters.
- Weighted Average Shares Outstanding (Diluted) has increased in each of the last seven years, with a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 2.05 billion in FY2024 (+20.8%), 1.7 billion in FY2023 (+3.9%), 1.64 billion in FY2022 (+4.1%) and 1.57 billion in FY2021 (+33.0%).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for 27 consecutive quarters, with growth averaging 14.9% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 3.9% (Q4 2023) and 33.0% (Q3 2022) over the last five years.
- Business Quant data shows NIO's Weighted Average Shares Outstanding (Diluted) at 2.27 billion (Q1 2026), 2.27 billion (Q4 2025) and 2.05 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,113.56 Bn | 944.46 Bn | 5.49 Bn | 3.54 Bn |
| 2 | Ferrari | 156.88 Bn | 149.18 Bn | 1.14 Bn | 178.32 Mn |
| 3 | General Motors | 75.72 Bn | -27.18 Bn | 9.28 Bn | 887.00 Mn |
| 4 | Honda Motor | 54.76 Bn | -93.40 Bn | 8.46 Bn | 1.73 Bn |
| 5 | Ford Motor | 49.15 Bn | -85.23 Bn | 7.38 Bn | 3.99 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 1.30 Bn |
| 7 | Rivian Automotive | 19.40 Bn | -2.29 Bn | 176.00 Mn | 1.45 Bn |
| 8 | Magna International | 17.60 Bn | 11.91 Bn | 1.63 Bn | 282.50 Mn |
| 9 | Stellantis | 12.84 Bn | -148.07 Bn | 3.94 Bn | 2.89 Bn |
| 10 | Nio | 7.89 Bn | -15.82 Bn | 870.51 Mn | 2.27 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.27 Bn |
| Mar 31, 2026 | 2.27 Bn |
| Dec 31, 2025 | 2.27 Bn |
| Sep 30, 2025 | 2.05 Bn |
| Jun 30, 2025 | 2.05 Bn |
| Mar 31, 2025 | 2.05 Bn |
| Dec 31, 2024 | 2.05 Bn |
| Sep 30, 2024 | 1.70 Bn |
| Jun 30, 2024 | 1.70 Bn |
| Mar 31, 2024 | 1.70 Bn |
| Dec 31, 2023 | 1.70 Bn |
| Sep 30, 2023 | 1.64 Bn |
| Jun 30, 2023 | 1.64 Bn |
| Mar 31, 2023 | 1.64 Bn |
| Dec 31, 2022 | 1.64 Bn |
| Sep 30, 2022 | 1.57 Bn |
| Jun 30, 2022 | 1.57 Bn |
| Mar 31, 2022 | 1.57 Bn |
| Dec 31, 2021 | 1.57 Bn |
| Sep 30, 2021 | 1.18 Bn |
Nio Shares Outstanding (Diluted) 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-diluted&ticker=NIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "NIO", "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-diluted&ticker=NIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();