Stoke Therapeutics (STOK) Accumulated Expenses (2018 - 2026)
Stoke Therapeutics' Accumulated Expenses was $38.58 million in Q3 2026, up 28.2% from $30.09 million a year earlier and up 34.8% from the prior quarter.
Stoke Therapeutics (STOK) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Stoke Therapeutics came in at $41.04 million, up 121.0% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 32.8% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $18.57 million in FY2024 (+34.4%), $13.82 million in FY2023 (-12.3%), $15.75 million in FY2022 (+6.7%) and $14.75 million in FY2021 (+48.6%).
- Quarterly Accumulated Expenses has moved between $11.11 million (Q1 2022) and $41.04 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in seven of the last eight quarters, with growth averaging 56.8%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2022 (growth of 140.7%); the worst was Q4 2023 (a decline of 12.3%).
- Per Business Quant data, STOK's Accumulated Expenses in the three quarters before Q3 2026 was $28.61 million (Q2 2026), $23.9 million (Q1 2026) and $41.04 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 | Stoke Therapeutics | 1.76 Bn | 523.36 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 38.58 Mn |
| Jun 30, 2026 | 28.61 Mn |
| Mar 31, 2026 | 23.90 Mn |
| Dec 31, 2025 | 41.04 Mn |
| Sep 30, 2025 | 30.09 Mn |
| Jun 30, 2025 | 25.62 Mn |
| Mar 31, 2025 | 24.34 Mn |
| Dec 31, 2024 | 18.57 Mn |
| Sep 30, 2024 | 15.77 Mn |
| Jun 30, 2024 | 14.50 Mn |
| Mar 31, 2024 | 12.57 Mn |
| Dec 31, 2023 | 13.82 Mn |
| Sep 30, 2023 | 13.39 Mn |
| Jun 30, 2023 | 12.22 Mn |
| Mar 31, 2023 | 13.78 Mn |
| Dec 31, 2022 | 15.75 Mn |
| Sep 30, 2022 | 14.05 Mn |
| Jun 30, 2022 | 13.41 Mn |
| Mar 31, 2022 | 11.11 Mn |
| Dec 31, 2021 | 14.75 Mn |
Stoke Therapeutics 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=STOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "STOK", "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=STOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();