Agios Pharmaceuticals (AGIO) Operating Leases (2019 - 2026)
Agios Pharmaceuticals' Operating Leases was $11.95 million in Q2 2026, down 61.7% from $31.17 million a year earlier and down 29.5% from the prior quarter.
Agios Pharmaceuticals (AGIO) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Agios Pharmaceuticals came in at $21.82 million, down 45.7% from FY2024.
- Operating Leases has now declined for six consecutive years, with a five-year compound annual growth rate of -25.9% (FY2020 to FY2025).
- In earlier years, Operating Leases was $40.21 million in FY2024 (-29.4%), $56.99 million in FY2023 (-20.8%), $72 million in FY2022 (-16.0%) and $85.66 million in FY2021 (-12.1%).
- The Q2 2026 figure marks the lowest quarterly Operating Leases in data going back to Q1 2019.
- Compared with a year earlier, Operating Leases has declined for 25 straight quarters, with an average decline of 40.7% over the last eight quarters.
- The year-over-year decline in Operating Leases has ranged between 10.9% (Q3 2021) and 61.7% (Q2 2026) over the last five years.
- Per Business Quant data, AGIO's Operating Leases in the three quarters before Q2 2026 was $16.94 million (Q1 2026), $21.82 million (Q4 2025) and $26.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Agios Pharmaceuticals | 1.99 Bn | 1.99 Bn | 41.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.95 Mn |
| Mar 31, 2026 | 16.94 Mn |
| Dec 31, 2025 | 21.82 Mn |
| Sep 30, 2025 | 26.53 Mn |
| Jun 30, 2025 | 31.17 Mn |
| Mar 31, 2025 | 35.74 Mn |
| Dec 31, 2024 | 40.21 Mn |
| Sep 30, 2024 | 44.52 Mn |
| Jun 30, 2024 | 48.76 Mn |
| Mar 31, 2024 | 52.94 Mn |
| Dec 31, 2023 | 56.99 Mn |
| Sep 30, 2023 | 60.83 Mn |
| Jun 30, 2023 | 64.62 Mn |
| Mar 31, 2023 | 68.35 Mn |
| Dec 31, 2022 | 72.00 Mn |
| Sep 30, 2022 | 75.50 Mn |
| Jun 30, 2022 | 78.95 Mn |
| Mar 31, 2022 | 82.34 Mn |
| Dec 31, 2021 | 85.66 Mn |
| Sep 30, 2021 | 88.84 Mn |
Agios Pharmaceuticals Operating Leases 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=operating-leases&ticker=AGIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=AGIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();