Tessera Defense & Homeland Security (HLSQ) Cash & Equivalents (2018 - 2026)
Tessera Defense & Homeland Security (HLSQ) posted Cash & Equivalents of $347,000 for Q2 2026, down 97.5% from $14.05 million a year earlier and down 70.3% from the prior quarter.
Tessera Defense & Homeland Security (HLSQ) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Tessera Defense & Homeland Security's Cash & Equivalents came in at $4.36 million, down 74.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -34.6% (FY2020 to FY2025).
- In prior years, Tessera Defense & Homeland Security's Cash & Equivalents was $16.86 million in FY2024 (+13.1%), $14.91 million in FY2023 (-52.4%), $31.33 million in FY2022 (-49.5%) and $62.1 million in FY2021 (+70.2%).
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q2 2018.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last six quarters, with an average decline of 53.4% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 70.2%; the weakest was Q2 2026, with a decline of 97.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $1.17 million (Q1 2026), $4.36 million (Q4 2025) and $6.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Tessera Defense & Homeland Security | 360,957.79 | -5.90 Mn | 97,000.00 | 347,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 347,000.00 |
| Mar 31, 2026 | 1.17 Mn |
| Dec 31, 2025 | 4.36 Mn |
| Sep 30, 2025 | 6.92 Mn |
| Jun 30, 2025 | 14.05 Mn |
| Mar 31, 2025 | 20.12 Mn |
| Dec 31, 2024 | 16.86 Mn |
| Sep 30, 2024 | 23.54 Mn |
| Jun 30, 2024 | 31.61 Mn |
| Mar 31, 2024 | 43.01 Mn |
| Dec 31, 2023 | 14.91 Mn |
| Sep 30, 2023 | 22.45 Mn |
| Jun 30, 2023 | 29.71 Mn |
| Mar 31, 2023 | 29.35 Mn |
| Dec 31, 2022 | 31.33 Mn |
| Sep 30, 2022 | 37.07 Mn |
| Jun 30, 2022 | 37.75 Mn |
| Mar 31, 2022 | 44.76 Mn |
| Dec 31, 2021 | 62.10 Mn |
| Sep 30, 2021 | 67.35 Mn |
Tessera Defense & Homeland Security Cash & Equivalents 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=cash-and-equivalents&ticker=HLSQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HLSQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();