Humacyte (HUMA) Receivables (2020 - 2026)
Humacyte's Receivables came in at $330,000 for Q2 2026, down 16.2% from $394,000 a year earlier and down 24.0% from the prior quarter.
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Analysis
Humacyte (HUMA) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Humacyte's Receivables was $441,000, up 145.0% from FY2024.
- Receivables carries a five-year compound annual growth rate of 31.3% (FY2020 to FY2025).
- Going back by year, Receivables was $180,000 in FY2024, $31,000 in FY2022 (-82.4%) and $176,000 in FY2021 (+55.8%).
- The Q2 2026 figure represents the lowest quarterly Receivables since Q4 2022.
- Business Quant data shows HUMA's Receivables at $434,000 (Q1 2026), $441,000 (Q4 2025) and $1.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,167.17 Bn | 1,135.76 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 633.70 Bn | 552.23 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 503.94 Bn | 477.06 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 378.10 Bn | 332.47 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 303.72 Bn | 267.71 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 266.46 Bn | 240.15 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 241.07 Bn | 196.47 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 194.22 Bn | 168.41 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 172.39 Bn | 119.04 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Humacyte | 97.12 Mn | -101.32 Mn | -825,000.00 | 330,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 330,000.00 |
| Mar 31, 2026 | 434,000.00 |
| Dec 31, 2025 | 441,000.00 |
| Sep 30, 2025 | 1.08 Mn |
| Jun 30, 2025 | 394,000.00 |
| Mar 31, 2025 | 488,000.00 |
| Dec 31, 2022 | 31,000.00 |
| Sep 30, 2022 | 31,000.00 |
| Jun 30, 2022 | 1.30 Mn |
| Mar 31, 2022 | 233,000.00 |
| Dec 31, 2021 | 176,000.00 |
| Sep 30, 2021 | 240,000.00 |
| Dec 31, 2020 | 113,000.00 |
API Access
Humacyte 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=HUMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "HUMA", "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=HUMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();