Telos (TLS) Shares Outstanding (Diluted) (2018 - 2026)
Telos (TLS) reported Weighted Average Shares Outstanding (Diluted) of 77.55 million for Q2 2026, up 6.0% from 73.16 million a year earlier but down 0.1% from the prior quarter.
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Analysis
Telos (TLS) Shares Outstanding (Diluted) (2018 - 2026) Analysis & Trends
For FY2025, Telos posted Weighted Average Shares Outstanding (Diluted) of 72.88 million, up 1.4% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased for seven consecutive years, with a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 71.85 million in FY2024 (+3.7%), 69.26 million in FY2023 (+2.5%), 67.56 million in FY2022 (+1.8%) and 66.37 million in FY2021 (+54.8%).
- Five-year quarterly Weighted Average Shares Outstanding (Diluted) spans a low of 66.37 million in Q4 2021 and a high of 77.62 million in Q1 2026.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 23 quarters, with growth averaging 3.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding (Diluted) ran from 0.4% in Q3 2025 to 71.2% in Q3 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at 77.62 million (Q1 2026), 72.88 million (Q4 2025) and 72.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 2.57 Bn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 3.00 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 1.18 Bn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 821.00 Mn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | 397.60 Mn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 1.04 Bn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | 1.84 Bn |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 428.05 Mn |
| 10 | Telos | 563.84 Mn | 358.03 Mn | 20.94 Mn | 76.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.50 Mn |
| Jun 30, 2026 | 77.55 Mn |
| Mar 31, 2026 | 77.62 Mn |
| Dec 31, 2025 | 72.88 Mn |
| Sep 30, 2025 | 72.58 Mn |
| Jun 30, 2025 | 73.16 Mn |
| Mar 31, 2025 | 72.72 Mn |
| Dec 31, 2024 | 71.85 Mn |
| Sep 30, 2024 | 72.31 Mn |
| Jun 30, 2024 | 72.02 Mn |
| Mar 31, 2024 | 70.63 Mn |
| Dec 31, 2023 | 69.26 Mn |
| Sep 30, 2023 | 69.57 Mn |
| Jun 30, 2023 | 69.42 Mn |
| Mar 31, 2023 | 68.18 Mn |
| Dec 31, 2022 | 67.56 Mn |
| Sep 30, 2022 | 67.49 Mn |
| Jun 30, 2022 | 67.88 Mn |
| Mar 31, 2022 | 67.56 Mn |
| Dec 31, 2021 | 66.37 Mn |
API Access
Telos 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=TLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "TLS", "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=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();