Telos (TLS) Other Accumulated Expenses (2010 - 2025)
Telos' Other Accumulated Expenses was $1.6 million in Q2 2025, up 8.9% from $1.47 million a year earlier and up 13.7% from the prior quarter.
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Analysis
Telos (TLS) Other Accumulated Expenses (2010 - 2025) Analysis & Trends
At the end of FY2024, Other Accumulated Expenses at Telos came in at $1.3 million, down 44.0% from FY2023.
- Other Accumulated Expenses shows a five-year compound annual growth rate of -7.3% (FY2019 to FY2024).
- In earlier years, Other Accumulated Expenses was $2.32 million in FY2023 (-52.8%), $4.92 million in FY2022 (+244.0%), $1.43 million in FY2021 (-24.9%) and $1.9 million in FY2020 (unchanged).
- Quarterly Other Accumulated Expenses has moved between $1.3 million (Q4 2024) and $4.92 million (Q4 2022) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in two of the last eight quarters, with an average decline of 21.3%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q4 2022 (growth of 244.0%); the worst was Q3 2021 (a decline of 55.8%).
- Per Business Quant data, TLS's Other Accumulated Expenses in the three quarters before Q2 2025 was $1.4 million (Q1 2025), $1.3 million (Q4 2024) and $2.9 million (Q3 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Telos | 313.15 Mn | 100.04 Mn | 16.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 1.60 Mn |
| Mar 31, 2025 | 1.40 Mn |
| Dec 31, 2024 | 1.30 Mn |
| Sep 30, 2024 | 2.90 Mn |
| Jun 30, 2024 | 1.47 Mn |
| Mar 31, 2024 | 2.03 Mn |
| Dec 31, 2023 | 2.32 Mn |
| Sep 30, 2023 | 1.84 Mn |
| Jun 30, 2023 | 3.32 Mn |
| Mar 31, 2023 | 3.86 Mn |
| Dec 31, 2022 | 4.92 Mn |
| Sep 30, 2022 | 1.97 Mn |
| Jun 30, 2022 | 2.73 Mn |
| Mar 31, 2022 | 2.08 Mn |
| Dec 31, 2021 | 1.43 Mn |
| Sep 30, 2021 | 2.09 Mn |
| Jun 30, 2021 | 1.83 Mn |
| Mar 31, 2021 | 3.19 Mn |
| Dec 31, 2020 | 1.90 Mn |
| Sep 30, 2020 | 4.73 Mn |
API Access
Telos Other Accumulated Expenses 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=other-accumulated-expenses&ticker=TLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();