AC Immune (ACIU) Accumulated Expenses (2014 - 2026)
AC Immune (ACIU) reported Accumulated Expenses of $9.01 million for the quarter ended Jun 30, 2026, down 35.0% from $13.86 million a year earlier but up 9.1% from the prior quarter.
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Analysis
AC Immune (ACIU) Accumulated Expenses (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, AC Immune posted Accumulated Expenses of $9.73 million, down 29.2% from the prior year.
- Accumulated Expenses has a five-year compound annual growth rate of -3.8% (years ended Dec 2020 to Dec 2025).
- By year, Accumulated Expenses came in at $13.75 million in the year ended Dec 31, 2024 (+11.4%), $12.34 million in the year ended Dec 31, 2023 (+25.1%), $9.87 million in the year ended Dec 31, 2022 (-46.1%) and $18.32 million in the year ended Dec 31, 2021 (+55.0%).
- Five-year quarterly Accumulated Expenses spans a low of $8.26 million in the quarter ended Mar 31, 2026 and a high of $18.15 million in the quarter ended Dec 31, 2021.
- Year over year, Accumulated Expenses has now declined in each of the last three quarters, with an average decline of 4.4% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was the quarter ended Dec 31, 2021 (growth of 48.0%); the low point was the quarter ended Dec 31, 2022 (a decline of 46.1%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $8.26 million (quarter ended Mar 31, 2026), $10.09 million (quarter ended Dec 31, 2025) and $14.99 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | AC Immune | 266.56 Mn | 266.56 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.01 Mn |
| Mar 31, 2026 | 8.26 Mn |
| Dec 31, 2025 | 10.09 Mn |
| Sep 30, 2025 | 14.99 Mn |
| Jun 30, 2025 | 13.86 Mn |
| Mar 31, 2025 | 12.40 Mn |
| Dec 31, 2024 | 13.81 Mn |
| Sep 30, 2024 | 14.89 Mn |
| Jun 30, 2024 | 13.15 Mn |
| Mar 31, 2024 | 12.08 Mn |
| Dec 31, 2023 | 12.50 Mn |
| Sep 30, 2023 | 10.57 Mn |
| Jun 30, 2023 | 12.35 Mn |
| Mar 31, 2023 | 9.36 Mn |
| Dec 31, 2022 | 9.78 Mn |
| Sep 30, 2022 | 11.37 Mn |
| Jun 30, 2022 | 9.76 Mn |
| Mar 31, 2022 | 11.45 Mn |
| Dec 31, 2021 | 18.15 Mn |
| Sep 30, 2021 | 14.49 Mn |
API Access
AC Immune 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=ACIU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ACIU", "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=ACIU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();