Surrozen (SRZN) Total Current Liabilities (2020 - 2026)
Surrozen (SRZN) posted Total Current Liabilities of $9.01 million for Q2 2026, up 56.9% from $5.74 million a year earlier but down 5.8% from the prior quarter.
Surrozen (SRZN) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Surrozen's Total Current Liabilities came in at $9.93 million, up 35.7% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- In prior years, Surrozen's Total Current Liabilities was $7.32 million in FY2024 (+2.3%), $7.15 million in FY2023 (-26.6%), $9.73 million in FY2022 (-28.3%) and $13.57 million in FY2021 (+86.5%).
- Quarterly Total Current Liabilities has run from a low of $5.74 million in Q2 2025 to a high of $13.57 million in Q4 2021 over five years.
- On a year-over-year basis, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 18.9%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2022, with growth of 722.5%; the weakest was Q3 2022, with a decline of 31.0%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $9.57 million (Q1 2026), $9.93 million (Q4 2025) and $6.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Surrozen | 348.39 Mn | 348.39 Mn | - | 9.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.01 Mn |
| Mar 31, 2026 | 9.57 Mn |
| Dec 31, 2025 | 9.93 Mn |
| Sep 30, 2025 | 6.53 Mn |
| Jun 30, 2025 | 5.74 Mn |
| Mar 31, 2025 | 10.58 Mn |
| Dec 31, 2024 | 7.32 Mn |
| Sep 30, 2024 | 6.12 Mn |
| Jun 30, 2024 | 5.98 Mn |
| Mar 31, 2024 | 6.18 Mn |
| Dec 31, 2023 | 7.15 Mn |
| Sep 30, 2023 | 6.67 Mn |
| Jun 30, 2023 | 6.45 Mn |
| Mar 31, 2023 | 7.79 Mn |
| Dec 31, 2022 | 9.73 Mn |
| Sep 30, 2022 | 8.65 Mn |
| Jun 30, 2022 | 8.52 Mn |
| Mar 31, 2022 | 8.12 Mn |
| Dec 31, 2021 | 13.57 Mn |
| Sep 30, 2021 | 12.54 Mn |
Surrozen Total Current 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-current-liabilities&ticker=SRZN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=SRZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();