Z Squared (ZSQR) Total Liabilities (2019 - 2026)
Z Squared (ZSQR) posted Total Liabilities of $2.03 million for Q2 2026, down 83.4% from $12.19 million a year earlier and down 89.8% from the prior quarter.
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Analysis
Z Squared (ZSQR) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Z Squared's Total Liabilities came in at $120.00, down 100.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -93.2% (FY2020 to FY2025).
- In prior years, Z Squared's Total Liabilities was $8.91 million in FY2024 (+137.1%), $3.76 million in FY2023 (+8.5%), $3.46 million in FY2022 (-21.6%) and $4.41 million in FY2021 (-94.6%).
- Quarterly Total Liabilities has run from a low of $120.00 in Q4 2025 to a high of $81.92 million in Q3 2021 over five years.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with growth averaging 45.5%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2025, with growth of 170.4%; the weakest was Q4 2025, with a decline of 100.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $19.79 million (Q1 2026), $120.00 (Q4 2025) and $3.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Z Squared | 220.48 Mn | 193.72 Mn | -1.77 Mn | 2.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.03 Mn |
| Mar 31, 2026 | 19.79 Mn |
| Dec 31, 2025 | 120.00 |
| Sep 30, 2025 | 3.26 Mn |
| Jun 30, 2025 | 12.19 Mn |
| Mar 31, 2025 | 13.45 Mn |
| Dec 31, 2024 | 8.91 Mn |
| Sep 30, 2024 | 3.97 Mn |
| Jun 30, 2024 | 4.51 Mn |
| Mar 31, 2024 | 5.03 Mn |
| Dec 31, 2023 | 3.76 Mn |
| Sep 30, 2023 | 2.78 Mn |
| Jun 30, 2023 | 5.20 Mn |
| Mar 31, 2023 | 5.10 Mn |
| Dec 31, 2022 | 3.46 Mn |
| Sep 30, 2022 | 26.56 Mn |
| Jun 30, 2022 | 31.05 Mn |
| Mar 31, 2022 | 73.65 Mn |
| Dec 31, 2021 | 4.41 Mn |
| Sep 30, 2021 | 81.92 Mn |
API Access
Z Squared 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=ZSQR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ZSQR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();