Molecular Partners Ag (MOLN) Accumulated Expenses (2020 - 2026)
Molecular Partners Ag's Accumulated Expenses was $8.66 million in Q2 2026, down 26.1% from $11.72 million a year earlier but up 19.7% from the prior quarter.
Molecular Partners Ag (MOLN) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Molecular Partners Ag came in at $9.72 million, up 10.9% from FY2024.
- Accumulated Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $8.76 million in FY2024 (+4.3%), $8.4 million in FY2023 (+6.9%), $7.86 million in FY2022 (-28.0%) and $10.92 million in FY2021 (+32.6%).
- Quarterly Accumulated Expenses has moved between $5.26 million (Q1 2023) and $11.72 million (Q2 2025) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 11.4%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2025 (growth of 58.1%); the worst was Q3 2022 (a decline of 31.4%).
- Per Business Quant data, MOLN's Accumulated Expenses in the three quarters before Q2 2026 was $7.24 million (Q1 2026), $10.08 million (Q4 2025) and $10.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Molecular Partners Ag | 138.65 Mn | -292.59 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.48 Mn |
| Mar 31, 2026 | 7.08 Mn |
| Dec 31, 2025 | 10.17 Mn |
| Sep 30, 2025 | 10.53 Mn |
| Jun 30, 2025 | 12.16 Mn |
| Mar 31, 2025 | 6.07 Mn |
| Dec 31, 2024 | 8.53 Mn |
| Sep 30, 2024 | 8.14 Mn |
| Jun 30, 2024 | 7.46 Mn |
| Mar 31, 2024 | 6.61 Mn |
| Dec 31, 2023 | 8.95 Mn |
| Sep 30, 2023 | 7.65 Mn |
| Jun 30, 2023 | 6.55 Mn |
| Mar 31, 2023 | 5.32 Mn |
| Dec 31, 2022 | 8.13 Mn |
| Sep 30, 2022 | 6.64 Mn |
| Jun 30, 2022 | 7.92 Mn |
| Mar 31, 2022 | 7.32 Mn |
| Dec 31, 2021 | 10.92 Mn |
| Sep 30, 2021 | 9.59 Mn |
Molecular Partners Ag 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=MOLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MOLN", "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=MOLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();