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 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Z Squared | 194.56 Mn | 167.79 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();