Syndax Pharmaceuticals (SNDX) Total Current Liabilities (2015 - 2026)
Syndax Pharmaceuticals (SNDX) posted Total Current Liabilities of $120.96 million for Q3 2026, up 5.9% from $114.19 million a year earlier and up 21.4% from the prior quarter.
Syndax Pharmaceuticals (SNDX) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Syndax Pharmaceuticals' Total Current Liabilities came in at $120.12 million, up 16.0% from FY2024.
- Annual Total Current Liabilities has increased for ten consecutive years, with a five-year compound annual growth rate of 44.8% (FY2020 to FY2025).
- In prior years, Syndax Pharmaceuticals' Total Current Liabilities was $103.55 million in FY2024 (+78.2%), $58.1 million in FY2023 (+99.9%), $29.07 million in FY2022 (+40.5%) and $20.68 million in FY2021 (+9.6%).
- The Q3 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q4 2015.
- On a year-over-year basis, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 53.0%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2025, with growth of 166.0%; the weakest was Q3 2022, with a decline of 27.5%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $99.68 million (Q2 2026), $86.17 million (Q1 2026) and $120.12 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Syndax Pharmaceuticals | 854.00 Mn | -867.10 Mn | 69.30 Mn | 120.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 120.96 Mn |
| Jun 30, 2026 | 99.68 Mn |
| Mar 31, 2026 | 86.17 Mn |
| Dec 31, 2025 | 120.12 Mn |
| Sep 30, 2025 | 114.19 Mn |
| Jun 30, 2025 | 112.99 Mn |
| Mar 31, 2025 | 94.55 Mn |
| Dec 31, 2024 | 103.55 Mn |
| Sep 30, 2024 | 59.38 Mn |
| Jun 30, 2024 | 42.47 Mn |
| Mar 31, 2024 | 50.81 Mn |
| Dec 31, 2023 | 58.10 Mn |
| Sep 30, 2023 | 39.17 Mn |
| Jun 30, 2023 | 30.17 Mn |
| Mar 31, 2023 | 23.72 Mn |
| Dec 31, 2022 | 29.07 Mn |
| Sep 30, 2022 | 20.80 Mn |
| Jun 30, 2022 | 30.93 Mn |
| Mar 31, 2022 | 30.55 Mn |
| Dec 31, 2021 | 20.68 Mn |
Syndax Pharmaceuticals Total 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-current-liabilities&ticker=SNDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "SNDX", "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-current-liabilities&ticker=SNDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();