Zapata Quantum (ZPTA) Other Operating Expenses (2023 - 2026)
Zapata Quantum's Other Operating Expenses came in at $173,000 for Q1 2026, down 66.3% from the prior quarter.
Zapata Quantum (ZPTA) Other Operating Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Zapata Quantum reported Other Operating Expenses of $692,000, down 87.4% year-over-year; for FY2025, it was $267,000, down 96.3% from FY2024.
- Going back by year, Other Operating Expenses was $7.12 million in FY2024 (+21.0%) and $5.89 million in FY2023.
- The five-year range for quarterly Other Operating Expenses is $6,000 (Q3 2025) to $2.19 million (Q2 2024).
- Year-over-year, Other Operating Expenses increased in two of the last five quarters, with an average decline of 13.6%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 272.82 Bn | 257.89 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 249.21 Bn | 229.62 Bn | 1.10 Bn |
| 3 | Fortinet | 129.84 Bn | 115.77 Bn | 1.64 Bn |
| 4 | Snowflake | 112.24 Bn | 99.56 Bn | 1.04 Bn |
| 5 | Datadog | 96.56 Bn | 78.20 Bn | 881.34 Mn |
| 6 | Zscaler | 37.88 Bn | 24.00 Bn | - |
| 7 | Okta | 36.56 Bn | 26.66 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 32.52 Bn | 27.05 Bn | 546.45 Mn |
| 9 | MongoDB | 30.68 Bn | 21.15 Bn | 569.77 Mn |
| 10 | Zapata Quantum | 127.52 Mn | 122.94 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 173,000.00 |
| Dec 31, 2025 | 513,000.00 |
| Sep 30, 2025 | 6,000.00 |
| Dec 31, 2024 | 1.21 Mn |
| Sep 30, 2024 | 2.07 Mn |
| Jun 30, 2024 | 2.19 Mn |
| Mar 31, 2024 | 1.63 Mn |
| Dec 31, 2023 | 1.22 Mn |
| Sep 30, 2023 | 1.32 Mn |
| Jun 30, 2023 | 1.65 Mn |
| Mar 31, 2023 | 1.70 Mn |
Zapata Quantum Other 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=other-operating-expenses&ticker=ZPTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "ZPTA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=ZPTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();