Scholar Rock Holding (SRRK) Total Liabilities (2017 - 2026)
Scholar Rock Holding's Total Liabilities was $269.76 million in Q2 2026, up 152.7% from $106.75 million a year earlier and up 4.1% from the prior quarter.
Scholar Rock Holding (SRRK) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Scholar Rock Holding came in at $158.78 million, up 49.4% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $106.29 million in FY2024 (+23.9%), $85.82 million in FY2023 (-12.4%), $97.93 million in FY2022 (-26.0%) and $132.37 million in FY2021 (+3.8%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2017.
- Compared with a year earlier, Total Liabilities has increased for nine straight quarters, with growth averaging 64.1% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2026 (growth of 172.3%); the worst was Q4 2022 (a decline of 26.0%).
- Per Business Quant data, SRRK's Total Liabilities in the three quarters before Q2 2026 was $259.24 million (Q1 2026), $158.78 million (Q4 2025) and $166.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Scholar Rock Holding | 5.97 Bn | 5.97 Bn | - | 269.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 269.76 Mn |
| Mar 31, 2026 | 259.24 Mn |
| Dec 31, 2025 | 158.78 Mn |
| Sep 30, 2025 | 166.72 Mn |
| Jun 30, 2025 | 106.75 Mn |
| Mar 31, 2025 | 95.22 Mn |
| Dec 31, 2024 | 106.29 Mn |
| Sep 30, 2024 | 99.94 Mn |
| Jun 30, 2024 | 93.25 Mn |
| Mar 31, 2024 | 84.51 Mn |
| Dec 31, 2023 | 85.82 Mn |
| Sep 30, 2023 | 83.02 Mn |
| Jun 30, 2023 | 82.40 Mn |
| Mar 31, 2023 | 86.07 Mn |
| Dec 31, 2022 | 97.93 Mn |
| Sep 30, 2022 | 97.04 Mn |
| Jun 30, 2022 | 94.62 Mn |
| Mar 31, 2022 | 94.66 Mn |
| Dec 31, 2021 | 132.37 Mn |
| Sep 30, 2021 | 111.13 Mn |
Scholar Rock Holding 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=SRRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SRRK", "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=SRRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();