Syndax Pharmaceuticals (SNDX) Total Non-Current Liabilities (2015 - 2026)
Syndax Pharmaceuticals (SNDX) recorded Total Non-Current Liabilities of $588.88 million in Q2 2026, up 80.8% from $325.74 million a year earlier and up 70.8% from the prior quarter.
Syndax Pharmaceuticals (SNDX) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Syndax Pharmaceuticals reported Total Non-Current Liabilities of $344.96 million, up 3.5% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 63.5% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $333.14 million in FY2024, $588,000 in FY2023 (-18.6%), $722,000 in FY2022 (-96.5%) and $20.61 million in FY2021 (-30.3%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2015.
- On a year-over-year basis, Total Non-Current Liabilities has increased for three consecutive quarters, with an average decline of 2.8% over the last four quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 80.8% in Q2 2026, against a decline of 99.8% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $344.87 million (Q1 2026), $344.96 million (Q4 2025) and $322.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Syndax Pharmaceuticals | 1.63 Bn | -103.87 Mn | 69.58 Mn | 588.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 588.88 Mn |
| Mar 31, 2026 | 344.87 Mn |
| Dec 31, 2025 | 344.96 Mn |
| Sep 30, 2025 | 322.18 Mn |
| Jun 30, 2025 | 325.74 Mn |
| Mar 31, 2025 | 331.10 Mn |
| Dec 31, 2024 | 333.14 Mn |
| Sep 30, 2024 | 2,000.00 |
| Jun 30, 2024 | 137,000.00 |
| Mar 31, 2024 | 334,000.00 |
| Dec 31, 2023 | 588,000.00 |
| Sep 30, 2023 | 864,000.00 |
| Jun 30, 2023 | 1.13 Mn |
| Mar 31, 2023 | 600,000.00 |
| Dec 31, 2022 | 722,000.00 |
| Sep 30, 2022 | 782,000.00 |
| Jun 30, 2022 | 13.57 Mn |
| Mar 31, 2022 | 17.12 Mn |
| Dec 31, 2021 | 20.61 Mn |
| Sep 30, 2021 | 11.79 Mn |
Syndax Pharmaceuticals 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=SNDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=SNDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();