Surrozen (SRZN) Total Liabilities (2020 - 2026)
Surrozen's Total Liabilities came in at $334.27 million for Q2 2026, up 501.4% from $55.58 million a year earlier but down 16.2% from the prior quarter.
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Analysis
Surrozen (SRZN) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Surrozen's Total Liabilities was $286.49 million, up 310.2% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 81.0% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $69.85 million in FY2024 (+757.5%), $8.15 million in FY2023 (-39.4%), $13.43 million in FY2022 (-51.1%) and $27.47 million in FY2021 (+86.0%).
- The five-year range for quarterly Total Liabilities is $6.58 million (Q1 2024) to $398.86 million (Q1 2026).
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with growth averaging 350.9% over the last seven quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2024 (growth of 757.5%), and the weakest in Q2 2022 (a decline of 79.4%).
- Business Quant data shows SRZN's Total Liabilities at $398.86 million (Q1 2026), $286.49 million (Q4 2025) and $117.56 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Surrozen | 295.07 Mn | -84.46 Mn | - | 334.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 334.27 Mn |
| Mar 31, 2026 | 398.86 Mn |
| Dec 31, 2025 | 286.49 Mn |
| Sep 30, 2025 | 117.56 Mn |
| Jun 30, 2025 | 55.58 Mn |
| Mar 31, 2025 | 109.16 Mn |
| Dec 31, 2024 | 69.85 Mn |
| Sep 30, 2024 | 42.33 Mn |
| Jun 30, 2024 | 39.01 Mn |
| Mar 31, 2024 | 6.58 Mn |
| Dec 31, 2023 | 8.15 Mn |
| Sep 30, 2023 | 8.44 Mn |
| Jun 30, 2023 | 8.94 Mn |
| Mar 31, 2023 | 11.16 Mn |
| Dec 31, 2022 | 13.43 Mn |
| Sep 30, 2022 | 13.94 Mn |
| Jun 30, 2022 | 14.43 Mn |
| Mar 31, 2022 | 14.99 Mn |
| Dec 31, 2021 | 27.47 Mn |
| Sep 30, 2021 | 26.91 Mn |
API Access
Surrozen Total 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-liabilities&ticker=SRZN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SRZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();