Service Corp International (SCI) Selling, General & Administrative (2009 - 2026)
Analysis
Service Corp International (SCI) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.26 Bn | 9.33 Bn | 272.27 Mn | 30.59 Mn |
| 2 | New Oriental Education & Technology | 8.36 Bn | -2.66 Bn | 20,000.00 | 420.71 Mn |
| 3 | TAL Education | 6.26 Bn | -6.22 Bn | 594.64 Mn | 132.38 Mn |
| 4 | Graham Holdings | 5.12 Bn | 211.21 Mn | 392.25 Mn | 282.84 Mn |
| 5 | Valvoline | 4.57 Bn | 4.28 Bn | 214.90 Mn | 103.00 Mn |
| 6 | Laureate Education | 4.52 Bn | 3.86 Bn | 131.69 Mn | 12.57 Mn |
| 7 | Covista | 3.80 Bn | 2.97 Bn | 290.78 Mn | 192.59 Mn |
| 8 | Stride | 3.14 Bn | -34.75 Mn | 241.12 Mn | 156.85 Mn |
| 9 | Onespaworld Holdings | 3.08 Bn | 2.97 Bn | 49.70 Mn | 6.95 Mn |
| 10 | Bright Horizons Family Solutions | 2.67 Bn | 2.11 Bn | 204.83 Mn | 100.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 30.59 Mn |
| Jun 30, 2026 | 41.78 Mn |
| Mar 31, 2026 | 43.91 Mn |
| Dec 31, 2025 | 33.66 Mn |
| Sep 30, 2025 | 38.33 Mn |
| Jun 30, 2025 | 49.47 Mn |
| Mar 31, 2025 | 44.70 Mn |
| Dec 31, 2024 | 14.96 Mn |
| Sep 30, 2024 | 43.73 Mn |
| Jun 30, 2024 | 39.00 Mn |
| Mar 31, 2024 | 41.33 Mn |
| Dec 31, 2023 | 45.07 Mn |
| Sep 30, 2023 | 33.21 Mn |
| Jun 30, 2023 | 34.92 Mn |
| Mar 31, 2023 | 44.16 Mn |
| Dec 31, 2022 | 107.91 Mn |
| Sep 30, 2022 | 41.91 Mn |
| Jun 30, 2022 | 45.72 Mn |
| Mar 31, 2022 | 41.70 Mn |
| Dec 31, 2021 | 40.79 Mn |
API Access
Service Corp International Selling, General & Administrative 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=selling-general-and-administrative&ticker=SCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SCI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=SCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();