BrightSpring Health Services (BTSGU) Operating Expenses (2023 - 2026)
BrightSpring Health Services (BTSGU) reported Operating Expenses of $362.36 million for Q2 2026, up 11.1% from $326.3 million a year earlier and up 0.4% from the prior quarter.
BrightSpring Health Services (BTSGU) Operating Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, BrightSpring Health Services' Operating Expenses came in at $1.33 billion, up 11.8% year-over-year; for FY2025, it was $1.22 billion, up 5.5% from FY2024.
- Operating Expenses has a three-year compound annual growth rate of 2.8% (FY2022 to FY2025).
- By year, Operating Expenses came in at $1.16 billion in FY2024 (+7.2%), $1.08 billion in FY2023 (-4.0%) and $1.13 billion in FY2022.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q3 2023.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 28.8% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 198.9%); the low point was Q3 2024 (a decline of 28.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $360.77 million (Q1 2026), $304.44 million (Q4 2025) and $304.17 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 362.36 Mn |
| Mar 31, 2026 | 360.77 Mn |
| Dec 31, 2025 | 304.44 Mn |
| Sep 30, 2025 | 304.17 Mn |
| Jun 30, 2025 | 326.30 Mn |
| Mar 31, 2025 | 287.63 Mn |
| Dec 31, 2024 | 283.13 Mn |
| Sep 30, 2024 | 294.00 Mn |
| Jun 30, 2024 | 273.52 Mn |
| Mar 31, 2024 | 307.83 Mn |
| Dec 31, 2023 | 94.71 Mn |
| Sep 30, 2023 | 410.55 Mn |
| Jun 30, 2023 | 292.45 Mn |
| Mar 31, 2023 | 283.16 Mn |
BrightSpring Health Services 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=BTSGU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BTSGU", "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=BTSGU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();