Syndax Pharmaceuticals (SNDX) Total Liabilities (2015 - 2026)
Syndax Pharmaceuticals (SNDX) reported Total Liabilities of $709.85 million for Q3 2026, up 62.7% from $436.36 million a year earlier and up 3.1% from the prior quarter.
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Analysis
Syndax Pharmaceuticals (SNDX) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Syndax Pharmaceuticals posted Total Liabilities of $465.08 million, up 6.5% from FY2024.
- Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 57.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $436.69 million in FY2024 (+644.1%), $58.68 million in FY2023 (+97.0%), $29.79 million in FY2022 (-27.9%) and $41.29 million in FY2021 (-14.7%).
- The Q3 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2015.
- Year over year, Total Liabilities has now increased in each of the last 13 quarters, with growth averaging 383.5% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2025 (growth of 929.7%); the low point was Q1 2023 (a decline of 49.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $688.55 million (Q2 2026), $431.05 million (Q1 2026) and $465.08 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Syndax Pharmaceuticals | 854.00 Mn | -867.10 Mn | 69.30 Mn | 709.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 709.85 Mn |
| Jun 30, 2026 | 688.55 Mn |
| Mar 31, 2026 | 431.05 Mn |
| Dec 31, 2025 | 465.08 Mn |
| Sep 30, 2025 | 436.36 Mn |
| Jun 30, 2025 | 438.73 Mn |
| Mar 31, 2025 | 425.65 Mn |
| Dec 31, 2024 | 436.69 Mn |
| Sep 30, 2024 | 59.38 Mn |
| Jun 30, 2024 | 42.61 Mn |
| Mar 31, 2024 | 51.14 Mn |
| Dec 31, 2023 | 58.68 Mn |
| Sep 30, 2023 | 40.04 Mn |
| Jun 30, 2023 | 31.30 Mn |
| Mar 31, 2023 | 24.32 Mn |
| Dec 31, 2022 | 29.79 Mn |
| Sep 30, 2022 | 21.59 Mn |
| Jun 30, 2022 | 44.50 Mn |
| Mar 31, 2022 | 47.67 Mn |
| Dec 31, 2021 | 41.29 Mn |
API Access
Syndax Pharmaceuticals 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=SNDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SNDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();