Surrozen (SRZN) Operating Expenses (2020 - 2026)
Surrozen's Operating Expenses came in at $15.37 million for Q2 2026, up 53.7% from $10 million a year earlier but down 0.6% from the prior quarter.
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Analysis
Surrozen (SRZN) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Surrozen reported Operating Expenses of $55.86 million, up 44.9% year-over-year; for FY2025, it was $45.57 million, up 25.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $36.19 million in FY2024 (-20.9%), $45.78 million in FY2023 (-19.5%), $56.84 million in FY2022 (+4.5%) and $54.39 million in FY2021 (+65.8%).
- The five-year range for quarterly Operating Expenses is $8.77 million (Q3 2024) to $15.46 million (Q1 2026).
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 22.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 58.6%), and the weakest in Q1 2024 (a decline of 37.4%).
- Business Quant data shows SRZN's Operating Expenses at $15.46 million (Q1 2026), $13.17 million (Q4 2025) and $11.87 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 7.68 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 7.61 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Surrozen | 389.19 Mn | 9.67 Mn | - | 15.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.37 Mn |
| Mar 31, 2026 | 15.46 Mn |
| Dec 31, 2025 | 13.17 Mn |
| Sep 30, 2025 | 11.87 Mn |
| Jun 30, 2025 | 10.00 Mn |
| Mar 31, 2025 | 10.53 Mn |
| Dec 31, 2024 | 9.25 Mn |
| Sep 30, 2024 | 8.77 Mn |
| Jun 30, 2024 | 9.05 Mn |
| Mar 31, 2024 | 9.13 Mn |
| Dec 31, 2023 | 9.72 Mn |
| Sep 30, 2023 | 11.19 Mn |
| Jun 30, 2023 | 10.28 Mn |
| Mar 31, 2023 | 14.59 Mn |
| Dec 31, 2022 | 14.67 Mn |
| Sep 30, 2022 | 13.61 Mn |
| Jun 30, 2022 | 14.07 Mn |
| Mar 31, 2022 | 14.49 Mn |
| Dec 31, 2021 | 15.00 Mn |
| Sep 30, 2021 | 13.71 Mn |
API Access
Surrozen 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=SRZN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SRZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();