AC Immune (ACIU) Other Operating Expenses (2014 - 2026)
AC Immune (ACIU) posted Other Operating Expenses of $121,463 for the quarter ended Jun 30, 2026, up 259.1% from $33,821 a year earlier and up 764.7% from the prior quarter.
AC Immune (ACIU) Other Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at AC Immune was $226,845, up 221.2% year-over-year; for the year ended Dec 31, 2025, it was $113,376, down 29.8% from the prior year.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of -39.9% (years ended Dec 2020 to Dec 2025).
- In prior years, AC Immune's Other Operating Expenses was $161,412 in the year ended Dec 31, 2024 (-90.2%), $1.65 million in the year ended Dec 31, 2023 (+17.5%), $1.41 million in the year ended Dec 31, 2022 (+8.8%) and $1.29 million in the year ended Dec 31, 2021 (-10.3%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Other Operating Expenses since the quarter ended Dec 31, 2023.
- On a year-over-year basis, Other Operating Expenses increased in two of the last five quarters, with growth averaging 102.8%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was the quarter ended Dec 31, 2025, with growth of 471.5%; the weakest was the quarter ended Dec 31, 2024, with a decline of 96.0%.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 121,462.95 |
| Mar 31, 2026 | 14,047.05 |
| Dec 31, 2025 | 91,335.39 |
| Jun 30, 2025 | 33,820.93 |
| Mar 31, 2025 | -1,112.25 |
| Dec 31, 2024 | 15,981.31 |
| Sep 30, 2024 | 21,929.94 |
| Jun 30, 2024 | 45,337.53 |
| Mar 31, 2024 | 77,906.40 |
| Dec 31, 2023 | 400,210.84 |
| Sep 30, 2023 | 459,653.94 |
| Jun 30, 2023 | 352,559.65 |
| Mar 31, 2023 | 441,114.33 |
| Dec 31, 2022 | 414,170.74 |
| Sep 30, 2022 | 271,289.64 |
| Jun 30, 2022 | 214,926.65 |
| Mar 31, 2022 | 497,009.05 |
| Dec 31, 2021 | 275,463.53 |
| Sep 30, 2021 | 277,727.92 |
| Jun 30, 2021 | 280,741.66 |
AC Immune Other Operating 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=other-operating-expenses&ticker=ACIU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=ACIU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();