Tessera Defense & Homeland Security (HLSQ) Selling, General & Administrative (2019 - 2026)
Tessera Defense & Homeland Security (HLSQ) reported Selling, General & Administrative of $5.38 million for Q2 2026, up 122.5% from $2.42 million a year earlier and up 234.1% from the prior quarter.
Tessera Defense & Homeland Security (HLSQ) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Tessera Defense & Homeland Security's Selling, General & Administrative came in at $11.7 million, up 4.5% year-over-year; for FY2025, it came in at $9.63 million, down 18.2% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $11.78 million in FY2024 (+36.1%), $8.65 million in FY2023 (-8.5%), $9.46 million in FY2022 (-16.1%) and $11.27 million in FY2021 (+20.9%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q1 2019.
- Year over year, Selling, General & Administrative gained in three of the last eight quarters, with growth averaging 10.4%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2026 (growth of 122.5%); the low point was Q1 2026 (a decline of 35.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.61 million (Q1 2026), $2.29 million (Q4 2025) and $2.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Tessera Defense & Homeland Security | 360,957.79 | -5.90 Mn | 97,000.00 | 5.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.38 Mn |
| Mar 31, 2026 | 1.61 Mn |
| Dec 31, 2025 | 2.29 Mn |
| Sep 30, 2025 | 2.41 Mn |
| Jun 30, 2025 | 2.42 Mn |
| Mar 31, 2025 | 2.51 Mn |
| Dec 31, 2024 | 3.02 Mn |
| Sep 30, 2024 | 3.25 Mn |
| Jun 30, 2024 | 2.83 Mn |
| Mar 31, 2024 | 2.68 Mn |
| Dec 31, 2023 | 2.60 Mn |
| Sep 30, 2023 | 2.15 Mn |
| Jun 30, 2023 | 2.26 Mn |
| Mar 31, 2023 | 1.64 Mn |
| Dec 31, 2022 | 1.99 Mn |
| Sep 30, 2022 | 2.63 Mn |
| Jun 30, 2022 | 2.36 Mn |
| Mar 31, 2022 | 2.48 Mn |
| Dec 31, 2021 | 2.83 Mn |
| Sep 30, 2021 | 2.85 Mn |
Tessera Defense & Homeland Security 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=HLSQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=HLSQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();