Agios Pharmaceuticals (AGIO) Change in Accured Expenses (2012 - 2026)
Agios Pharmaceuticals' Change in Accured Expenses came in at $8.35 million for Q2 2026, down 42.5% from $14.53 million a year earlier.
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Analysis
Agios Pharmaceuticals (AGIO) Change in Accured Expenses (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Agios Pharmaceuticals reported Change in Accured Expenses of -$642,000; for FY2025, it was -$1.4 million.
- Going back by year, Change in Accured Expenses was $3.69 million in FY2024 (-71.2%), $12.82 million in FY2023, -$1.62 million in FY2022 and $66,000 in FY2021 (-99.0%).
- The five-year range for quarterly Change in Accured Expenses is -$26.1 million (Q1 2025) to $14.53 million (Q2 2025).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with an average decline of 12.4%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2024 (growth of 72.6%), and the weakest in Q4 2022 (a decline of 78.3%).
- Business Quant data shows AGIO's Change in Accured Expenses at -$19.17 million (Q1 2026), $8.24 million (Q4 2025) and $1.93 million (Q3 2025) in the three quarters before Q2 2026.
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 | Agios Pharmaceuticals | 1.90 Bn | 1.90 Bn | 41.75 Mn | 8.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.35 Mn |
| Mar 31, 2026 | -19.17 Mn |
| Dec 31, 2025 | 8.24 Mn |
| Sep 30, 2025 | 1.93 Mn |
| Jun 30, 2025 | 14.53 Mn |
| Mar 31, 2025 | -26.10 Mn |
| Dec 31, 2024 | 13.55 Mn |
| Sep 30, 2024 | -3.44 Mn |
| Jun 30, 2024 | 11.61 Mn |
| Mar 31, 2024 | -18.04 Mn |
| Dec 31, 2023 | 12.68 Mn |
| Sep 30, 2023 | 1.30 Mn |
| Jun 30, 2023 | 6.73 Mn |
| Mar 31, 2023 | -7.89 Mn |
| Dec 31, 2022 | 594,000.00 |
| Sep 30, 2022 | 1.37 Mn |
| Jun 30, 2022 | 8.64 Mn |
| Mar 31, 2022 | -12.22 Mn |
| Dec 31, 2021 | 2.73 Mn |
| Sep 30, 2021 | -120,000.00 |
API Access
Agios Pharmaceuticals 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=AGIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "AGIO", "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=AGIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();