NovelStem International (NSTM) Total Liabilities (2010 - 2026)
NovelStem International (NSTM) posted Total Liabilities of $2.1 million for Q2 2026, up 5.4% from $1.99 million a year earlier and up 2.4% from the prior quarter.
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Analysis
NovelStem International (NSTM) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, NovelStem International's Total Liabilities came in at $2.16 million, down 59.3% from FY2024.
- Annual Total Liabilities shows a four-year compound annual growth rate of 82.8% (FY2021 to FY2025).
- In prior years, NovelStem International's Total Liabilities was $5.3 million in FY2024 (+26.1%), $4.21 million in FY2023, $353,326 in FY2022 (+82.9%) and $193,202 in FY2021.
- Quarterly Total Liabilities has run from a low of $193,202 in Q4 2021 to a high of $5.49 million in Q1 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in three of the last seven quarters, with an average decline of 22.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 82.9%; the weakest was Q1 2026, with a decline of 62.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.05 million (Q1 2026), $2.16 million (Q4 2025) and $2.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 115.64 Bn |
| 10 | NovelStem International | 493,324.54 | 346,279.54 | - | 2.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Mn |
| Mar 31, 2026 | 2.05 Mn |
| Dec 31, 2025 | 2.16 Mn |
| Sep 30, 2025 | 2.07 Mn |
| Jun 30, 2025 | 1.99 Mn |
| Mar 31, 2025 | 5.49 Mn |
| Dec 31, 2024 | 5.30 Mn |
| Sep 30, 2024 | 5.19 Mn |
| Jun 30, 2024 | 2.64 Mn |
| Mar 31, 2024 | 4.64 Mn |
| Dec 31, 2023 | 4.21 Mn |
| Sep 30, 2023 | 4.03 Mn |
| Jun 30, 2023 | 3.04 Mn |
| Mar 31, 2023 | 523,701.00 |
| Dec 31, 2022 | 353,326.00 |
| Sep 30, 2022 | 293,841.00 |
| Jun 30, 2022 | 202,053.00 |
| Dec 31, 2021 | 193,202.00 |
| Sep 30, 2013 | 1.63 Mn |
| Jun 30, 2013 | 1.74 Mn |
API Access
NovelStem International 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=NSTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NSTM", "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=NSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();