Tessera Defense & Homeland Security (HLSQ) Accumulated Expenses (2022 - 2025)
Tessera Defense & Homeland Security (HLSQ) reported Accumulated Expenses of $720,000 for Q4 2025, down 80.9% from $3.77 million a year earlier.
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Analysis
Tessera Defense & Homeland Security (HLSQ) Accumulated Expenses (2022 - 2025) Analysis & Trends
Dating back to Q4 2022, Tessera Defense & Homeland Security's Accumulated Expenses record includes 8 quarters.
- Accumulated Expenses has a three-year compound annual growth rate of -6.7% (FY2022 to FY2025).
- By year, Accumulated Expenses came in at $3.77 million in FY2024 (+192.6%), $1.29 million in FY2023 (+45.3%) and $887,000 in FY2022.
- The Q4 2025 figure ranks as the lowest quarterly Accumulated Expenses in data going back to Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Tessera Defense & Homeland Security | 412,523.21 | -5.85 Mn | 97,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 720,000.00 |
| Mar 31, 2025 | 2.68 Mn |
| Dec 31, 2024 | 3.77 Mn |
| Sep 30, 2024 | 3.42 Mn |
| Jun 30, 2024 | 1.23 Mn |
| Mar 31, 2024 | 2.39 Mn |
| Dec 31, 2023 | 1.29 Mn |
| Dec 31, 2022 | 887,000.00 |
API Access
Tessera Defense & Homeland Security 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=accumulated-expenses&ticker=HLSQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "HLSQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=HLSQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();