Agios Pharmaceuticals (AGIO) Selling, General & Administrative (2012 - 2026)
Agios Pharmaceuticals (AGIO) reported Selling, General & Administrative of $51.55 million for Q2 2026, up 12.4% from $45.87 million a year earlier and up 6.7% from the prior quarter.
Agios Pharmaceuticals (AGIO) Selling, General & Administrative (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Agios Pharmaceuticals' Selling, General & Administrative came in at $192.74 million, up 8.5% year-over-year; for FY2025, it came in at $180.28 million, up 15.0% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $156.78 million in FY2024 (+30.8%), $119.9 million in FY2023 (-1.5%), $121.67 million in FY2022 (+0.2%) and $121.45 million in FY2021 (+5.5%).
- Five-year quarterly Selling, General & Administrative spans a low of $25.82 million in Q3 2023 and a high of $51.7 million in Q4 2024.
- Year over year, Selling, General & Administrative gained in seven of the last eight quarters, with growth averaging 24.3%.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2024 (growth of 49.2%); the low point was Q3 2023 (a decline of 11.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $48.3 million (Q1 2026), $51.61 million (Q4 2025) and $41.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.28 Bn |
| 10 | Agios Pharmaceuticals | 1.90 Bn | -940.41 Mn | 52.86 Mn | 56.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 56.53 Mn |
| Jun 30, 2026 | 51.55 Mn |
| Mar 31, 2026 | 48.30 Mn |
| Dec 31, 2025 | 51.61 Mn |
| Sep 30, 2025 | 41.27 Mn |
| Jun 30, 2025 | 45.87 Mn |
| Mar 31, 2025 | 41.53 Mn |
| Dec 31, 2024 | 51.70 Mn |
| Sep 30, 2024 | 38.54 Mn |
| Jun 30, 2024 | 35.54 Mn |
| Mar 31, 2024 | 31.01 Mn |
| Dec 31, 2023 | 35.31 Mn |
| Sep 30, 2023 | 25.82 Mn |
| Jun 30, 2023 | 30.41 Mn |
| Mar 31, 2023 | 28.37 Mn |
| Dec 31, 2022 | 32.77 Mn |
| Sep 30, 2022 | 29.12 Mn |
| Jun 30, 2022 | 28.26 Mn |
| Mar 31, 2022 | 31.52 Mn |
| Dec 31, 2021 | 31.53 Mn |
Agios Pharmaceuticals Selling, General & Administrative 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=selling-general-and-administrative&ticker=AGIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AGIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();