Surrozen (SRZN) Receivables - Net (2022 - 2026)
Surrozen's Receivables - Net was $5 million in Q2 2026, up 115.8% from $2.32 million a year earlier and unchanged from the prior quarter.
Analysis
Surrozen (SRZN) Receivables - Net (2022 - 2026) Analysis & Trends
At the end of FY2024, Receivables - Net at Surrozen came in at $2.04 million, down 5.3% from FY2023.
- In earlier years, Receivables - Net was $2.15 million in FY2023 (+8.8%) and $1.98 million in FY2022.
- Quarterly Receivables - Net has moved between $1.98 million (Q4 2022) and $12.2 million (Q3 2024) over five years.
- Compared with a year earlier, Receivables - Net was higher in five of the last seven quarters, with growth averaging 98.7%.
- The best year-over-year quarter for Receivables - Net over five years was Q3 2024 (growth of 516.6%); the worst was Q3 2025 (a decline of 81.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,170.46 Bn | 1,139.04 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 648.38 Bn | 568.24 Bn | 17.30 Bn |
| 3 | AbbVie | 504.43 Bn | 477.54 Bn | 12.70 Bn |
| 4 | Merck | 367.73 Bn | 322.11 Bn | 12.21 Bn |
| 5 | Novartis Ag | 303.35 Bn | 267.34 Bn | 11.24 Bn |
| 6 | Astrazeneca | 268.20 Bn | 241.88 Bn | 12.86 Bn |
| 7 | Amgen | 242.55 Bn | 197.95 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.80 Bn | 169.00 Bn | 6.22 Bn |
| 9 | Pfizer | 173.31 Bn | 119.95 Bn | 10.94 Bn |
| 10 | Surrozen | 301.14 Mn | -78.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.00 Mn |
| Mar 31, 2026 | 5.00 Mn |
| Sep 30, 2025 | 2.32 Mn |
| Jun 30, 2025 | 2.32 Mn |
| Mar 31, 2025 | 2.13 Mn |
| Dec 31, 2024 | 2.04 Mn |
| Sep 30, 2024 | 12.20 Mn |
| Jun 30, 2024 | 2.11 Mn |
| Mar 31, 2024 | 2.13 Mn |
| Dec 31, 2023 | 2.15 Mn |
| Sep 30, 2023 | 1.98 Mn |
| Jun 30, 2023 | 1.98 Mn |
| Mar 31, 2023 | 1.98 Mn |
| Dec 31, 2022 | 1.98 Mn |
API Access
Surrozen Receivables - Net 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=receivables-net&ticker=SRZN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=SRZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();