Humacyte (HUMA) Total Liabilities (2020 - 2026)
Humacyte's Total Liabilities was $106.83 million in Q2 2026, down 20.7% from $134.74 million a year earlier but up 8.0% from the prior quarter.
Powered by 
Analysis
Humacyte (HUMA) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Humacyte came in at $113.26 million, down 40.6% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -24.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $190.54 million in FY2024 (+66.2%), $114.68 million in FY2023 (+31.2%), $87.37 million in FY2022 (-46.8%) and $164.36 million in FY2021 (-64.0%).
- Quarterly Total Liabilities has moved between $87.37 million (Q4 2022) and $227.5 million (Q3 2021) over five years.
- Compared with a year earlier, Total Liabilities has declined for six straight quarters, with an average decline of 3.7% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2024 (growth of 66.2%); the worst was Q2 2022 (a decline of 78.3%).
- Per Business Quant data, HUMA's Total Liabilities in the three quarters before Q2 2026 was $98.93 million (Q1 2026), $113.26 million (Q4 2025) and $96.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Humacyte | 97.33 Mn | -101.11 Mn | -825,000.00 | 106.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 106.83 Mn |
| Mar 31, 2026 | 98.93 Mn |
| Dec 31, 2025 | 113.26 Mn |
| Sep 30, 2025 | 96.26 Mn |
| Jun 30, 2025 | 134.74 Mn |
| Mar 31, 2025 | 126.51 Mn |
| Dec 31, 2024 | 190.54 Mn |
| Sep 30, 2024 | 178.49 Mn |
| Jun 30, 2024 | 166.57 Mn |
| Mar 31, 2024 | 135.31 Mn |
| Dec 31, 2023 | 114.68 Mn |
| Sep 30, 2023 | 112.39 Mn |
| Jun 30, 2023 | 106.99 Mn |
| Mar 31, 2023 | 101.09 Mn |
| Dec 31, 2022 | 87.37 Mn |
| Sep 30, 2022 | 107.55 Mn |
| Jun 30, 2022 | 104.11 Mn |
| Mar 31, 2022 | 160.58 Mn |
| Dec 31, 2021 | 164.36 Mn |
| Sep 30, 2021 | 227.50 Mn |
API Access
Humacyte Total Liabilities 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=total-liabilities&ticker=HUMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HUMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();