Surrozen (SRZN) Change in Accured Expenses (2020 - 2026)
Surrozen's Change in Accured Expenses came in at -$799,000 for Q2 2026, compared with $204,000 a year earlier.
Surrozen (SRZN) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Surrozen reported Change in Accured Expenses of $1.53 million, up 178.7% year-over-year; for FY2025, it came in at $2.5 million, up 137.0% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $1.06 million in FY2024, -$2.55 million in FY2023, -$1.78 million in FY2022 and $3.79 million in FY2021 (+99.1%).
- The five-year range for quarterly Change in Accured Expenses is -$3.78 million (Q1 2022) to $2.94 million (Q4 2025).
- Year-over-year, Change in Accured Expenses increased in three of the last five quarters, with growth averaging 269.9%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2024 (growth of 810.8%), and the weakest in Q3 2022 (a decline of 82.1%).
- Business Quant data shows SRZN's Change in Accured Expenses at -$1.16 million (Q1 2026), $2.94 million (Q4 2025) and $555,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Surrozen | 344.63 Mn | 344.63 Mn | - | -799,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -799,000.00 |
| Mar 31, 2026 | -1.16 Mn |
| Dec 31, 2025 | 2.94 Mn |
| Sep 30, 2025 | 555,000.00 |
| Jun 30, 2025 | 204,000.00 |
| Mar 31, 2025 | -1.19 Mn |
| Dec 31, 2024 | 864,000.00 |
| Sep 30, 2024 | 674,000.00 |
| Jun 30, 2024 | 658,000.00 |
| Mar 31, 2024 | -1.14 Mn |
| Dec 31, 2023 | 178,000.00 |
| Sep 30, 2023 | 74,000.00 |
| Jun 30, 2023 | -1.42 Mn |
| Mar 31, 2023 | -1.39 Mn |
| Dec 31, 2022 | 651,000.00 |
| Sep 30, 2022 | 157,000.00 |
| Jun 30, 2022 | 1.19 Mn |
| Mar 31, 2022 | -3.78 Mn |
| Dec 31, 2021 | 669,000.00 |
| Sep 30, 2021 | 875,000.00 |
Surrozen Change in Accured 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=change-in-accured-expenses&ticker=SRZN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SRZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();