Z Squared (ZSQR) Total Non-Current Liabilities (2020 - 2026)
Z Squared (ZSQR) reported Total Non-Current Liabilities of $390,530 for Q1 2026, up 15.5% from $337,999 a year earlier.
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Analysis
Z Squared (ZSQR) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2024, Z Squared posted Total Non-Current Liabilities of $528,125, down 31.3% from FY2023.
- Total Non-Current Liabilities has declined for four consecutive years, with a four-year compound annual growth rate of -69.5% (FY2020 to FY2024).
- By year, Total Non-Current Liabilities came in at $768,429 in FY2023 (-40.4%), $1.29 million in FY2022 (-21.8%), $1.65 million in FY2021 (-97.3%) and $61.15 million in FY2020.
- Five-year quarterly Total Non-Current Liabilities spans a low of $337,999 in Q1 2025 and a high of $78.05 million in Q3 2021.
- Year over year, Total Non-Current Liabilities gained in two of the last seven quarters, with an average decline of 21.9%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2026 (growth of 15.5%); the low point was Q3 2023 (a decline of 97.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Z Squared | 194.56 Mn | 167.79 Mn | -1.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 390,530.00 |
| Sep 30, 2025 | 559,500.00 |
| Jun 30, 2025 | 636,124.00 |
| Mar 31, 2025 | 337,999.00 |
| Dec 31, 2024 | 528,125.00 |
| Sep 30, 2024 | 533,304.00 |
| Jun 30, 2024 | 882,804.00 |
| Mar 31, 2024 | 733,554.00 |
| Dec 31, 2023 | 768,429.00 |
| Sep 30, 2023 | 543,098.00 |
| Jun 30, 2023 | 2.15 Mn |
| Mar 31, 2023 | 2.68 Mn |
| Dec 31, 2022 | 1.29 Mn |
| Sep 30, 2022 | 26.11 Mn |
| Jun 30, 2022 | 30.45 Mn |
| Mar 31, 2022 | 72.45 Mn |
| Dec 31, 2021 | 1.65 Mn |
| Sep 30, 2021 | 78.05 Mn |
| Jun 30, 2021 | 78.04 Mn |
| Mar 31, 2021 | 78.03 Mn |
API Access
Z Squared Total Non-Current 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-non-current-liabilities&ticker=ZSQR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ZSQR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();