Syndax Pharmaceuticals (SNDX) Change in Accrued Expenses (2015 - 2026)
Syndax Pharmaceuticals (SNDX) recorded Change in Accrued Expenses of $21.27 million in Q3 2026, compared with $1.1 million a year earlier and up 13.3% from the prior quarter.
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Analysis
Syndax Pharmaceuticals (SNDX) Change in Accrued Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Syndax Pharmaceuticals' Change in Accrued Expenses came in at $37.39 million as of Sep 30, 2026, up 32.9% year-over-year; for FY2025, it was $42.17 million, up 120.3% from FY2024.
- Annual Change in Accrued Expenses has increased for five straight years, with a five-year compound annual growth rate of 136.7% (FY2020 to FY2025).
- Across earlier years, Change in Accrued Expenses came in at $19.14 million in FY2024 (+28.7%), $14.87 million in FY2023 (+57.8%), $9.42 million in FY2022 (+240.2%) and $2.77 million in FY2021 (+388.4%).
- Quarterly Change in Accrued Expenses has ranged from -$28.35 million in Q1 2026 to $25.7 million in Q4 2025 over the past five years.
- On a year-over-year basis, Change in Accrued Expenses rose in three of the last four quarters, with growth averaging 21.5%.
- Per Business Quant, the preceding three quarters came in at $18.77 million (Q2 2026), -$28.35 million (Q1 2026) and $25.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 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 | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Syndax Pharmaceuticals | 854.00 Mn | -867.10 Mn | 69.30 Mn | 21.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.27 Mn |
| Jun 30, 2026 | 18.77 Mn |
| Mar 31, 2026 | -28.35 Mn |
| Dec 31, 2025 | 25.70 Mn |
| Sep 30, 2025 | 1.10 Mn |
| Jun 30, 2025 | 17.90 Mn |
| Mar 31, 2025 | -2.53 Mn |
| Dec 31, 2024 | 11.66 Mn |
| Sep 30, 2024 | 21.04 Mn |
| Jun 30, 2024 | -6.84 Mn |
| Mar 31, 2024 | -6.71 Mn |
| Dec 31, 2023 | 7.50 Mn |
| Sep 30, 2023 | 14.16 Mn |
| Jun 30, 2023 | 2.38 Mn |
| Mar 31, 2023 | -9.17 Mn |
| Dec 31, 2022 | 10.97 Mn |
| Sep 30, 2022 | -3.86 Mn |
| Jun 30, 2022 | -1.54 Mn |
| Mar 31, 2022 | 3.86 Mn |
| Dec 31, 2021 | 638,000.00 |
API Access
Syndax Pharmaceuticals Change in Accrued 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=change-in-accured-expenses&ticker=SNDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SNDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();