Humacyte (HUMA) Operating Expenses (2020 - 2026)
Humacyte's Operating Expenses was $27.4 million in Q2 2026, down 8.7% from $30.03 million a year earlier and down 6.9% from the prior quarter.
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Analysis
Humacyte (HUMA) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Humacyte's Operating Expenses was $113.28 million through Jun 30, 2026, up 1.1% year-over-year; for FY2025, it was $110.18 million, down 3.7% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $114.4 million in FY2024 (+14.3%), $100.05 million in FY2023 (+16.1%), $86.14 million in FY2022 (+4.5%) and $82.47 million in FY2021 (+24.8%).
- Quarterly Operating Expenses has moved between $19.83 million (Q2 2022) and $31.3 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 3.9%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 38.0%); the worst was Q3 2025 (a decline of 16.8%).
- Per Business Quant data, HUMA's Operating Expenses in the three quarters before Q2 2026 was $29.43 million (Q1 2026), $31.3 million (Q4 2025) and $25.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Humacyte | 97.33 Mn | -101.11 Mn | -825,000.00 | 27.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.40 Mn |
| Mar 31, 2026 | 29.43 Mn |
| Dec 31, 2025 | 31.30 Mn |
| Sep 30, 2025 | 25.14 Mn |
| Jun 30, 2025 | 30.03 Mn |
| Mar 31, 2025 | 23.70 Mn |
| Dec 31, 2024 | 28.09 Mn |
| Sep 30, 2024 | 30.23 Mn |
| Jun 30, 2024 | 29.50 Mn |
| Mar 31, 2024 | 26.58 Mn |
| Dec 31, 2023 | 26.18 Mn |
| Sep 30, 2023 | 24.62 Mn |
| Jun 30, 2023 | 26.73 Mn |
| Mar 31, 2023 | 22.51 Mn |
| Dec 31, 2022 | 20.79 Mn |
| Sep 30, 2022 | 23.53 Mn |
| Jun 30, 2022 | 19.83 Mn |
| Mar 31, 2022 | 22.00 Mn |
| Dec 31, 2021 | 21.80 Mn |
| Sep 30, 2021 | 20.78 Mn |
API Access
Humacyte Operating Expenses 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=operating-expenses&ticker=HUMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HUMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();