Syndax Pharmaceuticals (SNDX) Receivables (2024 - 2026)
Syndax Pharmaceuticals (SNDX) reported Receivables of $112.27 million for Q3 2026, up 142.5% from $46.3 million a year earlier and up 57.1% from the prior quarter.
Syndax Pharmaceuticals (SNDX) Receivables (2024 - 2026) Analysis & Trends
At the end of FY2025, Syndax Pharmaceuticals posted Receivables of $66.1 million, up 488.2% from FY2024.
- By year, Receivables came in at $11.24 million in FY2024.
- The Q3 2026 figure ranks as the highest quarterly Receivables in data going back to Q4 2024.
- Year over year, Receivables has now increased in each of the last four quarters, with growth averaging 201.9% over the last four quarters.
- Per Business Quant data, the three quarters before Q3 2026 came in at $71.47 million (Q2 2026), $62.82 million (Q1 2026) and $66.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 25.23 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 18.99 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 13.51 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.74 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 16.16 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 10.35 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 5.01 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 14.19 Bn |
| 10 | Syndax Pharmaceuticals | 854.00 Mn | -867.10 Mn | 69.30 Mn | 112.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 112.27 Mn |
| Jun 30, 2026 | 71.47 Mn |
| Mar 31, 2026 | 62.82 Mn |
| Dec 31, 2025 | 66.10 Mn |
| Sep 30, 2025 | 46.30 Mn |
| Jun 30, 2025 | 52.65 Mn |
| Mar 31, 2025 | 26.02 Mn |
| Dec 31, 2024 | 11.24 Mn |
Syndax Pharmaceuticals Receivables 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=receivables&ticker=SNDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SNDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();