Telos (TLS) Shares Outstanding (2018 - 2026)
Telos' Weighted Average Shares Outstanding was 74.9 million in Q2 2026, up 2.4% from 73.16 million a year earlier and up 1.5% from the prior quarter.
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Analysis
Telos (TLS) Shares Outstanding (2018 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Telos came in at 72.88 million, up 1.4% from FY2024.
- Weighted Average Shares Outstanding has now increased for seven consecutive years, with a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 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 (+59.4%).
- The Q2 2026 figure marks the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2018.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for 27 straight quarters, with growth averaging 2.2% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 0.4% (Q3 2025) and 71.2% (Q3 2021) over the last five years.
- Per Business Quant data, TLS's Weighted Average Shares Outstanding in the three quarters before Q2 2026 was 73.82 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 (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | 2.41 Bn |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 2.97 Bn |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | 1.17 Bn |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 820.00 Mn |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 396.50 Mn |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 1.03 Bn |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | 1.83 Bn |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | 400.15 Mn |
| 10 | Telos | 541.49 Mn | 328.38 Mn | 16.69 Mn | 74.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.90 Mn |
| Mar 31, 2026 | 73.82 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 |
| Sep 30, 2021 | 66.76 Mn |
API Access
Telos 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=TLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();