Scholar Rock Holding (SRRK) Operating Expenses (2017 - 2026)
Scholar Rock Holding (SRRK) posted Operating Expenses of $108.9 million for Q2 2026, down 2.9% from $112.11 million a year earlier but up 6.7% from the prior quarter.
Scholar Rock Holding (SRRK) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Scholar Rock Holding was $406.36 million, up 25.7% year-over-year; for FY2025, it was $384.65 million, up 52.6% from FY2024.
- Annual Operating Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- In prior years, Scholar Rock Holding's Operating Expenses was $252.05 million in FY2024 (+47.1%), $171.3 million in FY2023 (+2.2%), $167.56 million in FY2022 (+12.7%) and $148.74 million in FY2021 (+45.4%).
- Quarterly Operating Expenses has run from a low of $39.08 million in Q2 2023 to a high of $112.11 million in Q2 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 41.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2025, with growth of 88.4%; the weakest was Q2 2023, with a decline of 9.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $102.02 million (Q1 2026), $91.9 million (Q4 2025) and $103.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Scholar Rock Holding | 5.81 Bn | 5.81 Bn | - | 108.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.90 Mn |
| Mar 31, 2026 | 102.02 Mn |
| Dec 31, 2025 | 91.90 Mn |
| Sep 30, 2025 | 103.55 Mn |
| Jun 30, 2025 | 112.11 Mn |
| Mar 31, 2025 | 77.09 Mn |
| Dec 31, 2024 | 69.36 Mn |
| Sep 30, 2024 | 64.78 Mn |
| Jun 30, 2024 | 59.50 Mn |
| Mar 31, 2024 | 58.42 Mn |
| Dec 31, 2023 | 48.03 Mn |
| Sep 30, 2023 | 43.67 Mn |
| Jun 30, 2023 | 39.08 Mn |
| Mar 31, 2023 | 40.51 Mn |
| Dec 31, 2022 | 40.43 Mn |
| Sep 30, 2022 | 43.86 Mn |
| Jun 30, 2022 | 43.15 Mn |
| Mar 31, 2022 | 40.13 Mn |
| Dec 31, 2021 | 39.41 Mn |
| Sep 30, 2021 | 42.54 Mn |
Scholar Rock Holding Operating 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=operating-expenses&ticker=SRRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SRRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();