Tessera Defense & Homeland Security (HLSQ) Total Liabilities (2018 - 2026)
Tessera Defense & Homeland Security (HLSQ) reported Total Liabilities of $10.56 million for Q2 2026, down 44.1% from $18.89 million a year earlier but up 155.6% from the prior quarter.
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Analysis
Tessera Defense & Homeland Security (HLSQ) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Tessera Defense & Homeland Security posted Total Liabilities of $7.09 million, down 62.9% from FY2024.
- Total Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of -11.3% (FY2020 to FY2025).
- By year, Total Liabilities came in at $19.09 million in FY2024 (-13.0%), $21.95 million in FY2023 (-10.4%), $24.49 million in FY2022 (-19.6%) and $30.46 million in FY2021 (+136.2%).
- Five-year quarterly Total Liabilities spans a low of $4.13 million in Q1 2026 and a high of $91.15 million in Q1 2024.
- Year over year, Total Liabilities has now declined in each of the last eight quarters, with an average decline of 46.5% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2024 (growth of 260.8%); the low point was Q1 2026 (a decline of 80.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.13 million (Q1 2026), $7.09 million (Q4 2025) and $15.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Tessera Defense & Homeland Security | 257,001.96 | -12.77 Mn | 97,000.00 | 10.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.56 Mn |
| Mar 31, 2026 | 4.13 Mn |
| Dec 31, 2025 | 7.09 Mn |
| Sep 30, 2025 | 15.68 Mn |
| Jun 30, 2025 | 18.89 Mn |
| Mar 31, 2025 | 21.16 Mn |
| Dec 31, 2024 | 19.09 Mn |
| Sep 30, 2024 | 22.08 Mn |
| Jun 30, 2024 | 41.19 Mn |
| Mar 31, 2024 | 91.15 Mn |
| Dec 31, 2023 | 21.95 Mn |
| Sep 30, 2023 | 24.90 Mn |
| Jun 30, 2023 | 25.39 Mn |
| Mar 31, 2023 | 25.26 Mn |
| Dec 31, 2022 | 24.49 Mn |
| Sep 30, 2022 | 25.34 Mn |
| Jun 30, 2022 | 25.64 Mn |
| Mar 31, 2022 | 28.73 Mn |
| Dec 31, 2021 | 30.46 Mn |
| Sep 30, 2021 | 28.37 Mn |
API Access
Tessera Defense & Homeland Security Total Liabilities 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=total-liabilities&ticker=HLSQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HLSQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();