Surrozen (SRZN) Accumulated Expenses (2020 - 2026)
Surrozen (SRZN) recorded Accumulated Expenses of $5.95 million in Q2 2026, up 42.0% from $4.19 million a year earlier but down 11.8% from the prior quarter.
Surrozen (SRZN) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Surrozen reported Accumulated Expenses of $7.91 million, up 52.7% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $5.18 million in FY2024 (+25.5%), $4.13 million in FY2023 (-39.7%), $6.85 million in FY2022 (-20.9%) and $8.66 million in FY2021 (+155.2%).
- Quarterly Accumulated Expenses has ranged from $3.49 million in Q1 2024 to $9.09 million in Q1 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in seven of the last eight quarters, with growth averaging 36.2%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 399.4% in Q1 2022, against a decline of 39.7% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.75 million (Q1 2026), $7.91 million (Q4 2025) and $4.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Surrozen | 378.24 Mn | 378.24 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.95 Mn |
| Mar 31, 2026 | 6.75 Mn |
| Dec 31, 2025 | 7.91 Mn |
| Sep 30, 2025 | 4.75 Mn |
| Jun 30, 2025 | 4.19 Mn |
| Mar 31, 2025 | 9.09 Mn |
| Dec 31, 2024 | 5.18 Mn |
| Sep 30, 2024 | 4.32 Mn |
| Jun 30, 2024 | 3.64 Mn |
| Mar 31, 2024 | 3.49 Mn |
| Dec 31, 2023 | 4.13 Mn |
| Sep 30, 2023 | 3.95 Mn |
| Jun 30, 2023 | 3.90 Mn |
| Mar 31, 2023 | 5.32 Mn |
| Dec 31, 2022 | 6.85 Mn |
| Sep 30, 2022 | 6.13 Mn |
| Jun 30, 2022 | 6.01 Mn |
| Mar 31, 2022 | 4.93 Mn |
| Dec 31, 2021 | 8.66 Mn |
| Sep 30, 2021 | 8.50 Mn |
Surrozen Accumulated 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=accumulated-expenses&ticker=SRZN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SRZN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=SRZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();