Lumen Technologies (LUMN) Shares Outstanding (Diluted) (2009 - 2026)
Lumen Technologies (LUMN) recorded Weighted Average Shares Outstanding (Diluted) of 1 billion in Q3 2026, up 0.9% from 996 million a year earlier and up 0.1% from the prior quarter.
Lumen Technologies (LUMN) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Lumen Technologies reported Weighted Average Shares Outstanding (Diluted) of 994.55 million, up 0.7% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 987.68 million in FY2024 (+0.5%), 983.08 million in FY2023 (-2.4%), 1.01 billion in FY2022 (-5.6%) and 1.07 billion in FY2021 (-1.1%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2022.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for 11 consecutive quarters, with growth averaging 0.7% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 1.0% in Q2 2026, against a decline of 7.0% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 1 billion (Q2 2026), 998.89 million (Q1 2026) and 994.55 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | 4.17 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | 1.07 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | 6.84 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | 68.12 Bn |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | 3.56 Bn |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | 777.60 Mn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | 2.40 Bn |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | 351.19 Mn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | 929.10 Mn |
| 10 | Lumen Technologies | 4.00 Bn | -1.48 Bn | 1.28 Bn | 1.00 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.00 Bn |
| Jun 30, 2026 | 1.00 Bn |
| Mar 31, 2026 | 998.89 Mn |
| Dec 31, 2025 | 994.55 Mn |
| Sep 30, 2025 | 996.00 Mn |
| Jun 30, 2025 | 994.54 Mn |
| Mar 31, 2025 | 991.27 Mn |
| Dec 31, 2024 | 987.68 Mn |
| Sep 30, 2024 | 988.79 Mn |
| Jun 30, 2024 | 987.24 Mn |
| Mar 31, 2024 | 986.26 Mn |
| Dec 31, 2023 | 983.08 Mn |
| Sep 30, 2023 | 983.55 Mn |
| Jun 30, 2023 | 983.45 Mn |
| Mar 31, 2023 | 982.28 Mn |
| Dec 31, 2022 | 1.01 Bn |
| Sep 30, 2022 | 1.02 Bn |
| Jun 30, 2022 | 1.02 Bn |
| Mar 31, 2022 | 1.02 Bn |
| Dec 31, 2021 | 1.07 Bn |
Lumen Technologies 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=LUMN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "LUMN", "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=LUMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();