Zapata Quantum (ZPTA) Total Liabilities (2021 - 2026)
Zapata Quantum's Total Liabilities was $10.56 million in Q1 2026, down 60.6% from $26.78 million a year earlier but up 0.2% from the prior quarter.
Zapata Quantum (ZPTA) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Zapata Quantum came in at $10.54 million, down 59.8% from FY2024.
- Total Liabilities shows a four-year compound annual growth rate of 106.2% (FY2021 to FY2025).
- In earlier years, Total Liabilities was $26.21 million in FY2024 (+43.3%), $18.29 million in FY2023 (-93.9%), $297.46 million in FY2022 and $583,509 in FY2021.
- Quarterly Total Liabilities has moved between $583,509 (Q4 2021) and $312.01 million (Q2 2023) over five years.
- Compared with a year earlier, Total Liabilities has declined for five straight quarters, with an average decline of 40.9% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2024 (growth of 43.3%); the worst was Q4 2023 (a decline of 93.9%).
- Per Business Quant data, ZPTA's Total Liabilities in the three quarters before Q1 2026 was $10.54 million (Q4 2025), $19.36 million (Q3 2025) and $23.13 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 269.64 Bn | 254.71 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 244.16 Bn | 224.56 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 127.03 Bn | 112.96 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 109.37 Bn | 96.69 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 94.00 Bn | 75.65 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Zscaler | 37.55 Bn | 23.67 Bn | - | 5.27 Bn |
| 7 | Okta | 36.01 Bn | 26.10 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Axon Enterprise | 32.32 Bn | 26.85 Bn | 546.45 Mn | 3.81 Bn |
| 9 | MongoDB | 29.88 Bn | 20.35 Bn | 569.77 Mn | 797.71 Mn |
| 10 | Zapata Quantum | 127.52 Mn | 122.94 Mn | - | 10.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 10.56 Mn |
| Dec 31, 2025 | 10.54 Mn |
| Sep 30, 2025 | 19.36 Mn |
| Jun 30, 2025 | 23.13 Mn |
| Mar 31, 2025 | 26.78 Mn |
| Dec 31, 2024 | 26.21 Mn |
| Sep 30, 2024 | 26.37 Mn |
| Jun 30, 2024 | 38.14 Mn |
| Mar 31, 2024 | 30.94 Mn |
| Dec 31, 2023 | 18.29 Mn |
| Sep 30, 2023 | 157.12 Mn |
| Jun 30, 2023 | 312.01 Mn |
| Mar 31, 2023 | 304.72 Mn |
| Dec 31, 2022 | 297.46 Mn |
| Sep 30, 2022 | 245.38 Mn |
| Jun 30, 2022 | 244.25 Mn |
| Mar 31, 2022 | 243.94 Mn |
| Dec 31, 2021 | 583,509.00 |
Zapata Quantum Total Liabilities 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=total-liabilities&ticker=ZPTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ZPTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();