Syndax Pharmaceuticals (SNDX) Accumulated Expenses (2015 - 2026)
Syndax Pharmaceuticals' Accumulated Expenses was $116.86 million in Q3 2026, up 51.6% from $77.11 million a year earlier and up 23.9% from the prior quarter.
Syndax Pharmaceuticals (SNDX) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Syndax Pharmaceuticals came in at $103.06 million, up 71.5% from FY2024.
- Accumulated Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 33.5% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $60.1 million in FY2024 (+50.8%), $39.86 million in FY2023 (+64.2%), $24.28 million in FY2022 (+67.8%) and $14.47 million in FY2021 (-40.4%).
- The Q3 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2015.
- Compared with a year earlier, Accumulated Expenses has increased for 14 straight quarters, with growth averaging 66.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2025 (growth of 165.1%); the worst was Q4 2021 (a decline of 40.4%).
- Per Business Quant data, SNDX's Accumulated Expenses in the three quarters before Q3 2026 was $94.3 million (Q2 2026), $74.84 million (Q1 2026) and $103.06 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Syndax Pharmaceuticals | 854.00 Mn | -867.10 Mn | 69.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 116.86 Mn |
| Jun 30, 2026 | 94.30 Mn |
| Mar 31, 2026 | 74.84 Mn |
| Dec 31, 2025 | 103.06 Mn |
| Sep 30, 2025 | 77.11 Mn |
| Jun 30, 2025 | 71.07 Mn |
| Mar 31, 2025 | 55.98 Mn |
| Dec 31, 2024 | 60.10 Mn |
| Sep 30, 2024 | 48.12 Mn |
| Jun 30, 2024 | 26.81 Mn |
| Mar 31, 2024 | 33.40 Mn |
| Dec 31, 2023 | 39.86 Mn |
| Sep 30, 2023 | 32.12 Mn |
| Jun 30, 2023 | 17.73 Mn |
| Mar 31, 2023 | 15.21 Mn |
| Dec 31, 2022 | 24.28 Mn |
| Sep 30, 2022 | 13.21 Mn |
| Jun 30, 2022 | 16.97 Mn |
| Mar 31, 2022 | 18.42 Mn |
| Dec 31, 2021 | 14.47 Mn |
Syndax Pharmaceuticals Accumulated Expenses 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=accumulated-expenses&ticker=SNDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SNDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();