Agios Pharmaceuticals (AGIO) Long-Term Investments (2013 - 2026)
Agios Pharmaceuticals (AGIO) reported Long-Term Investments of $347.25 million for Q2 2026, down 13.3% from $400.47 million a year earlier but up 12.6% from the prior quarter.
Agios Pharmaceuticals (AGIO) Long-Term Investments (2013 - 2026) Analysis & Trends
At the end of FY2025, Agios Pharmaceuticals posted Long-Term Investments of $310.01 million, down 51.4% from FY2024.
- Long-Term Investments has a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- By year, Long-Term Investments came in at $638.32 million in FY2024, $29.44 million in FY2023 (-90.6%), $313.87 million in FY2022 (+17.8%) and $266.38 million in FY2021 (+172.9%).
- Five-year quarterly Long-Term Investments spans a low of $29.44 million in Q4 2023 and a high of $655.89 million in Q3 2024.
- Year over year, Long-Term Investments has now declined in each of the last four quarters, with growth averaging 117.0% over the last seven quarters.
- The high point for year-over-year Long-Term Investments in five years was Q2 2025 (growth of 431.1%); the low point was Q4 2023 (a decline of 90.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $308.45 million (Q1 2026), $310.01 million (Q4 2025) and $304.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 3.86 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | - |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 266.00 Mn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 1.22 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 69.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 2.62 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | - |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 1.56 Bn |
| 10 | Agios Pharmaceuticals | 1.94 Bn | 1.94 Bn | 41.75 Mn | 347.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 347.25 Mn |
| Mar 31, 2026 | 308.45 Mn |
| Dec 31, 2025 | 310.01 Mn |
| Sep 30, 2025 | 304.34 Mn |
| Jun 30, 2025 | 400.47 Mn |
| Mar 31, 2025 | 531.25 Mn |
| Dec 31, 2024 | 638.32 Mn |
| Sep 30, 2024 | 655.89 Mn |
| Jun 30, 2024 | 75.40 Mn |
| Mar 31, 2024 | 116.30 Mn |
| Dec 31, 2023 | 29.44 Mn |
| Sep 30, 2023 | 224.90 Mn |
| Jun 30, 2023 | 244.36 Mn |
| Mar 31, 2023 | 271.73 Mn |
| Dec 31, 2022 | 313.87 Mn |
| Sep 30, 2022 | 298.35 Mn |
| Jun 30, 2022 | 280.85 Mn |
| Mar 31, 2022 | 255.84 Mn |
| Dec 31, 2021 | 266.38 Mn |
| Sep 30, 2021 | 130.14 Mn |
Agios Pharmaceuticals Long-Term Investments 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=long-term-investments&ticker=AGIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=AGIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();