Z Squared (ZSQR) Operating Expenses (2019 - 2026)
Z Squared's Operating Expenses came in at $12.03 million for Q2 2026, up 202.0% from the prior quarter.
Z Squared (ZSQR) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Z Squared reported Operating Expenses of $21.49 million, up 156.4% year-over-year; for FY2025, it came in at $14.23 million, up 41.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 190.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $10.05 million in FY2024 (-53.2%), $21.49 million in FY2023 (-37.2%), $34.2 million in FY2022 (+142.2%) and $14.12 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q1 2022.
- Year-over-year, Operating Expenses increased in three of the last six quarters, with an average decline of 2.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2023 (growth of 41.9%), and the weakest in Q4 2022 (a decline of 77.8%).
- Business Quant data shows ZSQR's Operating Expenses at $3.98 million (Q1 2026), $2.81 million (Q4 2025) and $2.67 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Z Squared | 220.48 Mn | 193.72 Mn | -1.77 Mn | 12.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.03 Mn |
| Mar 31, 2026 | 3.98 Mn |
| Dec 31, 2025 | 2.81 Mn |
| Sep 30, 2025 | 2.67 Mn |
| Mar 31, 2025 | 4.07 Mn |
| Dec 31, 2024 | 2.16 Mn |
| Sep 30, 2024 | 2.14 Mn |
| Jun 30, 2024 | 2.83 Mn |
| Mar 31, 2024 | 2.92 Mn |
| Dec 31, 2023 | 3.37 Mn |
| Sep 30, 2023 | 7.90 Mn |
| Jun 30, 2023 | 3.68 Mn |
| Mar 31, 2023 | 6.54 Mn |
| Dec 31, 2022 | 3.04 Mn |
| Sep 30, 2022 | 5.57 Mn |
| Jun 30, 2022 | 9.81 Mn |
| Mar 31, 2022 | 15.72 Mn |
| Dec 31, 2021 | 13.72 Mn |
| Sep 30, 2021 | 100,017.00 |
| Jun 30, 2021 | 155,688.00 |
Z Squared Operating 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=operating-expenses&ticker=ZSQR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ZSQR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ZSQR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();