Telos (TLS) Selling, General & Administrative (2010 - 2026)
Telos (TLS) recorded Selling, General & Administrative of $15.04 million in Q2 2026, down 25.9% from $20.3 million a year earlier but up 3.3% from the prior quarter.
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Analysis
Telos (TLS) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Telos' Selling, General & Administrative came in at $68.59 million as of Jun 30, 2026, down 16.7% year-over-year; for FY2025, it came in at $78.93 million, up 4.6% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $75.49 million in FY2024 (-6.8%), $81.01 million in FY2023 (-39.0%), $132.89 million in FY2022 (+4.2%) and $127.49 million in FY2021 (+105.2%).
- Quarterly Selling, General & Administrative has ranged from $14.56 million in Q1 2026 to $35.24 million in Q1 2022 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has declined for four consecutive quarters, with an average decline of 0.6% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 148.7% in Q3 2021, against a decline of 45.1% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $14.56 million (Q1 2026), $17.87 million (Q4 2025) and $21.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 376.00 Mn |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | 39.92 Mn |
| 10 | Telos | 316.14 Mn | 103.03 Mn | 16.69 Mn | 15.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.04 Mn |
| Mar 31, 2026 | 14.56 Mn |
| Dec 31, 2025 | 17.87 Mn |
| Sep 30, 2025 | 21.12 Mn |
| Jun 30, 2025 | 20.30 Mn |
| Mar 31, 2025 | 19.63 Mn |
| Dec 31, 2024 | 19.14 Mn |
| Sep 30, 2024 | 23.23 Mn |
| Jun 30, 2024 | 16.89 Mn |
| Mar 31, 2024 | 16.23 Mn |
| Dec 31, 2023 | 18.66 Mn |
| Sep 30, 2023 | 19.55 Mn |
| Jun 30, 2023 | 19.18 Mn |
| Mar 31, 2023 | 23.62 Mn |
| Dec 31, 2022 | 32.96 Mn |
| Sep 30, 2022 | 29.73 Mn |
| Jun 30, 2022 | 34.97 Mn |
| Mar 31, 2022 | 35.24 Mn |
| Dec 31, 2021 | 29.56 Mn |
| Sep 30, 2021 | 29.97 Mn |
API Access
Telos Selling, General & Administrative 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=selling-general-and-administrative&ticker=TLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();