Monte Rosa Therapeutics (GLUE) Change in Accured Expenses (2020 - 2026)
Monte Rosa Therapeutics' Change in Accured Expenses was $2.21 million in Q2 2026, compared with -$2.47 million a year earlier.
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Analysis
Monte Rosa Therapeutics (GLUE) Change in Accured Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Monte Rosa Therapeutics' Change in Accured Expenses was $11.43 million through Jun 30, 2026; for FY2025, it was $7.85 million, up 87.7% from FY2024.
- Change in Accured Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 47.4% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $4.18 million in FY2024 (+17.6%), $3.56 million in FY2023 (+245.0%), $1.03 million in FY2022 (-84.3%) and $6.59 million in FY2021 (+482.9%).
- Quarterly Change in Accured Expenses has moved between -$3.89 million (Q1 2024) and $8.74 million (Q4 2025) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last four quarters, with growth averaging 96.7%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q4 2024 (growth of 186.8%); the worst was Q3 2022 (a decline of 80.4%).
- Per Business Quant data, GLUE's Change in Accured Expenses in the three quarters before Q2 2026 was -$3.71 million (Q1 2026), $8.74 million (Q4 2025) and $4.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Monte Rosa Therapeutics | 894.88 Mn | 306.69 Mn | - | 2.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.21 Mn |
| Mar 31, 2026 | -3.71 Mn |
| Dec 31, 2025 | 8.74 Mn |
| Sep 30, 2025 | 4.19 Mn |
| Jun 30, 2025 | -2.47 Mn |
| Mar 31, 2025 | -2.61 Mn |
| Dec 31, 2024 | 3.70 Mn |
| Sep 30, 2024 | 2.33 Mn |
| Jun 30, 2024 | 2.04 Mn |
| Mar 31, 2024 | -3.89 Mn |
| Dec 31, 2023 | 1.29 Mn |
| Sep 30, 2023 | 2.79 Mn |
| Jun 30, 2023 | 2.77 Mn |
| Mar 31, 2023 | -3.29 Mn |
| Dec 31, 2022 | 2.07 Mn |
| Sep 30, 2022 | 1.16 Mn |
| Jun 30, 2022 | 1.36 Mn |
| Mar 31, 2022 | -3.56 Mn |
| Dec 31, 2021 | -139,000.00 |
| Sep 30, 2021 | 5.88 Mn |
API Access
Monte Rosa Therapeutics Change in Accured 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=change-in-accured-expenses&ticker=GLUE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "GLUE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();