Adaptimmune Therapeutics PLC (ADAPY) Accumulated Expenses (2015 - 2025)
Adaptimmune Therapeutics (ADAPY) posted Accumulated Expenses of $24.53 million for Q2 2025, down 20.5% from $30.85 million a year earlier and down 1.4% from the prior quarter.
Adaptimmune Therapeutics PLC (ADAPY) Accumulated Expenses (2015 - 2025) Analysis & Trends
At the end of FY2024, Adaptimmune Therapeutics' Accumulated Expenses came in at $32.92 million, up 8.6% from FY2023.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 7.1% (FY2019 to FY2024).
- In prior years, Adaptimmune Therapeutics' Accumulated Expenses was $30.3 million in FY2023 (-2.9%), $31.22 million in FY2022 (+4.4%), $29.91 million in FY2021 (+10.5%) and $27.08 million in FY2020 (+15.9%).
- The Q2 2025 figure stands as the lowest quarterly Accumulated Expenses since Q1 2024.
- On a year-over-year basis, Accumulated Expenses increased in four of the last eight quarters, with an average decline of 2.9%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2022, with growth of 42.1%; the weakest was Q1 2024, with a decline of 30.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $24.86 million (Q1 2025), $32.92 million (Q4 2024) and $31.5 million (Q3 2024).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 24.53 Mn |
| Mar 31, 2025 | 24.86 Mn |
| Dec 31, 2024 | 32.92 Mn |
| Sep 30, 2024 | 31.50 Mn |
| Jun 30, 2024 | 30.85 Mn |
| Mar 31, 2024 | 23.05 Mn |
| Dec 31, 2023 | 30.30 Mn |
| Sep 30, 2023 | 26.83 Mn |
| Jun 30, 2023 | 25.24 Mn |
| Mar 31, 2023 | 33.21 Mn |
| Dec 31, 2022 | 31.22 Mn |
| Sep 30, 2022 | 36.08 Mn |
| Jun 30, 2022 | 32.62 Mn |
| Mar 31, 2022 | 31.63 Mn |
| Dec 31, 2021 | 29.91 Mn |
| Sep 30, 2021 | 27.98 Mn |
| Jun 30, 2021 | 26.61 Mn |
| Mar 31, 2021 | 22.26 Mn |
| Dec 31, 2020 | 27.08 Mn |
| Sep 30, 2020 | 24.62 Mn |
Adaptimmune Therapeutics PLC 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=ADAPY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ADAPY", "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=ADAPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();