Surrozen (SRZN) Cash & Equivalents (2020 - 2026)
Surrozen (SRZN) posted Cash & Equivalents of $102.04 million for Q2 2026, up 12.9% from $90.39 million a year earlier but down 4.6% from the prior quarter.
Surrozen (SRZN) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Surrozen's Cash & Equivalents came in at $89.25 million, up 158.2% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- In prior years, Surrozen's Cash & Equivalents was $34.57 million in FY2024 (-4.1%), $36.04 million in FY2023 (+46.0%), $24.69 million in FY2022 (-25.4%) and $33.09 million in FY2021 (-5.4%).
- Quarterly Cash & Equivalents has run from a low of $14.31 million in Q1 2022 to a high of $106.91 million in Q1 2026 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last six quarters, with growth averaging 92.2% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2025, with growth of 272.5%; the weakest was Q3 2022, with a decline of 58.2%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $106.91 million (Q1 2026), $89.25 million (Q4 2025) and $81.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Surrozen | 344.63 Mn | 344.63 Mn | - | 102.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.04 Mn |
| Mar 31, 2026 | 106.91 Mn |
| Dec 31, 2025 | 89.25 Mn |
| Sep 30, 2025 | 81.34 Mn |
| Jun 30, 2025 | 90.39 Mn |
| Mar 31, 2025 | 101.65 Mn |
| Dec 31, 2024 | 34.57 Mn |
| Sep 30, 2024 | 31.01 Mn |
| Jun 30, 2024 | 37.77 Mn |
| Mar 31, 2024 | 27.29 Mn |
| Dec 31, 2023 | 36.04 Mn |
| Sep 30, 2023 | 33.98 Mn |
| Jun 30, 2023 | 36.50 Mn |
| Mar 31, 2023 | 27.81 Mn |
| Dec 31, 2022 | 24.69 Mn |
| Sep 30, 2022 | 25.53 Mn |
| Jun 30, 2022 | 16.87 Mn |
| Mar 31, 2022 | 14.31 Mn |
| Dec 31, 2021 | 33.09 Mn |
| Sep 30, 2021 | 61.10 Mn |
Surrozen Cash & Equivalents 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=cash-and-equivalents&ticker=SRZN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SRZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();