Macrogenics (MGNX) Cost of Revenue (2021 - 2026)
Macrogenics (MGNX) reported Cost of Revenue of $9.53 million for Q1 2026, up 76.5% from $5.4 million a year earlier but down 5.8% from the prior quarter.
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Analysis
Macrogenics (MGNX) Cost of Revenue (2021 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Macrogenics' Cost of Revenue came in at $40.14 million, up 167.5% year-over-year; for FY2025, it was $36.01 million, up 214.4% from FY2024.
- Cost of Revenue has increased for four consecutive years, with a four-year compound annual growth rate of 92.0% (FY2021 to FY2025).
- By year, Cost of Revenue came in at $11.45 million in FY2024 (+50.6%), $7.6 million in FY2023 (+88.5%), $4.03 million in FY2022 (+52.1%) and $2.65 million in FY2021.
- Five-year quarterly Cost of Revenue spans a low of $22,000 in Q2 2021 and a high of $11.59 million in Q3 2025.
- Year over year, Cost of Revenue has now increased in each of the last five quarters, with growth averaging 188.4% over the last seven quarters.
- The high point for year-over-year Cost of Revenue in five years was Q3 2025 (growth of 580.9%); the low point was Q2 2023 (a decline of 58.6%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $10.12 million (Q4 2025), $11.59 million (Q3 2025) and $8.91 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Macrogenics | 227.85 Mn | -89.92 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9.53 Mn |
| Dec 31, 2025 | 10.12 Mn |
| Sep 30, 2025 | 11.59 Mn |
| Jun 30, 2025 | 8.91 Mn |
| Mar 31, 2025 | 5.40 Mn |
| Dec 31, 2024 | 5.26 Mn |
| Sep 30, 2024 | 1.70 Mn |
| Jun 30, 2024 | 2.65 Mn |
| Mar 31, 2024 | 1.85 Mn |
| Sep 30, 2023 | 3.27 Mn |
| Jun 30, 2023 | 919,000.00 |
| Mar 31, 2023 | 3.41 Mn |
| Dec 31, 2022 | 798,000.00 |
| Sep 30, 2022 | 3.01 Mn |
| Jun 30, 2022 | 2.22 Mn |
| Mar 31, 2022 | 48,000.00 |
| Dec 31, 2021 | 947,000.00 |
| Sep 30, 2021 | 1.67 Mn |
| Jun 30, 2021 | 22,000.00 |
| Mar 31, 2021 | 17,000.00 |
API Access
Macrogenics 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=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "MGNX", "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=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();