Starling Oncology (STLN) Operating Expenses (2020 - 2026)
Starling Oncology (STLN) posted Operating Expenses of $165.9 million for Q2 2026, up 26.6% from $131.01 million a year earlier and up 7.8% from the prior quarter.
Starling Oncology (STLN) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Starling Oncology was $613.33 million, up 30.1% year-over-year; for FY2025, it came in at $538.81 million, up 18.8% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 22.5% (FY2020 to FY2025).
- In prior years, Starling Oncology's Operating Expenses was $453.53 million in FY2024 (+13.0%), $401.26 million in FY2023 (+20.0%), $334.43 million in FY2022 (+34.4%) and $248.86 million in FY2021 (+27.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2020.
- On a year-over-year basis, Operating Expenses has increased in each of the last 19 quarters, with growth averaging 20.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 1.5% (Q1 2025) to 123.4% (Q4 2021).
- According to Business Quant data, Operating Expenses for the three prior quarters was $153.95 million (Q1 2026), $148.86 million (Q4 2025) and $144.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | 17.74 Bn |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | - |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | 458.40 Mn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 1.31 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 2.98 Bn |
| 10 | Starling Oncology | 667.11 Mn | 534.52 Mn | 27.17 Mn | 165.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 165.90 Mn |
| Mar 31, 2026 | 153.95 Mn |
| Dec 31, 2025 | 148.86 Mn |
| Sep 30, 2025 | 144.62 Mn |
| Jun 30, 2025 | 131.01 Mn |
| Mar 31, 2025 | 114.32 Mn |
| Dec 31, 2024 | 112.20 Mn |
| Sep 30, 2024 | 113.75 Mn |
| Jun 30, 2024 | 114.94 Mn |
| Mar 31, 2024 | 112.64 Mn |
| Dec 31, 2023 | 101.08 Mn |
| Sep 30, 2023 | 95.96 Mn |
| Jun 30, 2023 | 95.16 Mn |
| Mar 31, 2023 | 109.06 Mn |
| Dec 31, 2022 | 96.50 Mn |
| Sep 30, 2022 | 85.07 Mn |
| Jun 30, 2022 | 79.23 Mn |
| Mar 31, 2022 | 73.63 Mn |
| Dec 31, 2021 | 93.14 Mn |
| Sep 30, 2021 | 54.43 Mn |
Starling Oncology 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=STLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "STLN", "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=STLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();