Macrogenics (MGNX) Receivables (2012 - 2026)
Macrogenics' Receivables was $144.17 million in Q2 2026, compared with $12.53 million a year earlier.
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Analysis
Macrogenics (MGNX) Receivables (2012 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Macrogenics came in at $427,000, down 90.1% from FY2024.
- Receivables has now declined for three consecutive years, with a five-year compound annual growth rate of -55.0% (FY2020 to FY2025).
- In earlier years, Receivables was $4.31 million in FY2024 (-58.4%), $10.37 million in FY2023 (-81.6%), $56.22 million in FY2022 (+441.3%) and $10.39 million in FY2021 (-55.0%).
- The Q2 2026 figure marks the highest quarterly Receivables in data going back to Q4 2012.
- Compared with a year earlier, Receivables was higher in three of the last seven quarters, with growth averaging 89.2%.
- The best year-over-year quarter for Receivables over five years was Q3 2025 (growth of 691.2%); the worst was Q4 2025 (a decline of 90.1%).
- Per Business Quant data, MGNX's Receivables in the three quarters before Q2 2026 was $10.43 million (Q1 2026), $427,000 (Q4 2025) and $69.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Macrogenics | 258.40 Mn | -59.37 Mn | - | 144.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 144.17 Mn |
| Mar 31, 2026 | 10.43 Mn |
| Dec 31, 2025 | 427,000.00 |
| Sep 30, 2025 | 69.23 Mn |
| Jun 30, 2025 | 12.53 Mn |
| Mar 31, 2025 | 10.54 Mn |
| Dec 31, 2024 | 4.31 Mn |
| Sep 30, 2024 | 8.75 Mn |
| Jun 30, 2024 | 6.19 Mn |
| Mar 31, 2024 | 7.22 Mn |
| Dec 31, 2023 | 10.37 Mn |
| Sep 30, 2023 | 25.31 Mn |
| Jun 30, 2023 | 6.41 Mn |
| Mar 31, 2023 | 36.16 Mn |
| Dec 31, 2022 | 56.22 Mn |
| Sep 30, 2022 | 13.84 Mn |
| Jun 30, 2022 | 18.39 Mn |
| Mar 31, 2022 | 14.91 Mn |
| Dec 31, 2021 | 10.39 Mn |
| Sep 30, 2021 | 13.76 Mn |
API Access
Macrogenics Receivables 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=receivables&ticker=MGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();