AC Immune (ACIU) Cash & Equivalents (2014 - 2026)
AC Immune (ACIU) recorded Cash & Equivalents of $35.12 million in the quarter ended Jun 30, 2026, up 13.0% from $31.07 million a year earlier and up 43.5% from the prior quarter.
AC Immune (ACIU) Cash & Equivalents (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, AC Immune reported Cash & Equivalents of $32.32 million, down 21.6% from the prior year.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -28.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Cash & Equivalents came in at $41.23 million in the year ended Dec 31, 2024 (-52.8%), $87.4 million in the year ended Dec 31, 2023 (+164.0%), $33.11 million in the year ended Dec 31, 2022 (-63.2%) and $89.97 million in the year ended Dec 31, 2021 (-47.6%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Cash & Equivalents since the quarter ended Dec 31, 2024.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with an average decline of 20.5%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 169.9% in the quarter ended Dec 31, 2023, against a decline of 66.0% in the quarter ended Mar 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $24.48 million (quarter ended Mar 31, 2026), $33.53 million (quarter ended Dec 31, 2025) and $34.68 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 4.90 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 976.00 Mn |
| 10 | AC Immune | 246.22 Mn | -192.18 Mn | - | 34.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.42 Mn |
| Mar 31, 2026 | 23.96 Mn |
| Dec 31, 2025 | 33.84 Mn |
| Sep 30, 2025 | 34.80 Mn |
| Jun 30, 2025 | 32.22 Mn |
| Mar 31, 2025 | 22.66 Mn |
| Dec 31, 2024 | 40.16 Mn |
| Sep 30, 2024 | 38.57 Mn |
| Jun 30, 2024 | 57.39 Mn |
| Mar 31, 2024 | 63.27 Mn |
| Dec 31, 2023 | 93.07 Mn |
| Sep 30, 2023 | 34.90 Mn |
| Jun 30, 2023 | 44.49 Mn |
| Mar 31, 2023 | 62.88 Mn |
| Dec 31, 2022 | 34.23 Mn |
| Sep 30, 2022 | 45.65 Mn |
| Jun 30, 2022 | 66.18 Mn |
| Mar 31, 2022 | 62.66 Mn |
| Dec 31, 2021 | 89.98 Mn |
| Sep 30, 2021 | 100.17 Mn |
AC Immune Cash & Equivalents 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=cash-and-equivalents&ticker=ACIU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ACIU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();