Agios Pharmaceuticals (AGIO) Cost of Revenue (2018 - 2026)
Agios Pharmaceuticals (AGIO) posted Cost of Revenue of $3 million for Q2 2026, up 76.0% from $1.7 million a year earlier and up 127.1% from the prior quarter.
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Analysis
Agios Pharmaceuticals (AGIO) Cost of Revenue (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Agios Pharmaceuticals was $7.87 million, up 63.0% year-over-year; for FY2025, it came in at $6.35 million, up 52.3% from FY2024.
- Annual Cost of Revenue has increased for three consecutive years, with a three-year compound annual growth rate of 55.0% (FY2022 to FY2025).
- In prior years, Agios Pharmaceuticals' Cost of Revenue was $4.17 million in FY2024 (+44.6%), $2.88 million in FY2023 (+69.1%) and $1.7 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q3 2018.
- On a year-over-year basis, Cost of Revenue has increased in each of the last 14 quarters, with growth averaging 60.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cost of Revenue ranged from 13.2% (Q1 2024) to 154.7% (Q2 2023).
- According to Business Quant data, Cost of Revenue for the three prior quarters was $1.32 million (Q1 2026), $1.88 million (Q4 2025) and $1.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 8.10 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Agios Pharmaceuticals | 2.21 Bn | -956.52 Mn | 41.75 Mn | 3.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.00 Mn |
| Mar 31, 2026 | 1.32 Mn |
| Dec 31, 2025 | 1.88 Mn |
| Sep 30, 2025 | 1.68 Mn |
| Jun 30, 2025 | 1.70 Mn |
| Mar 31, 2025 | 1.09 Mn |
| Dec 31, 2024 | 1.26 Mn |
| Sep 30, 2024 | 783,000.00 |
| Jun 30, 2024 | 1.50 Mn |
| Mar 31, 2024 | 627,000.00 |
| Dec 31, 2023 | 586,000.00 |
| Sep 30, 2023 | 633,000.00 |
| Jun 30, 2023 | 1.11 Mn |
| Mar 31, 2023 | 554,000.00 |
| Dec 31, 2022 | 413,000.00 |
| Sep 30, 2022 | 517,000.00 |
| Jun 30, 2022 | 435,000.00 |
| Mar 31, 2022 | 339,000.00 |
| Dec 31, 2020 | -1.85 Mn |
| Sep 30, 2020 | 638,000.00 |
API Access
Agios Pharmaceuticals Cost of Revenue 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=cost-of-revenue&ticker=AGIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AGIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();