Emerald Holding (EEX) Selling, General & Administrative (2016 - 2026)
Emerald Holding's Selling, General & Administrative was $71.9 million in Q1 2026, up 32.9% from $54.1 million a year earlier.
Emerald Holding (EEX) Selling, General & Administrative (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Emerald Holding's Selling, General & Administrative was $207.7 million through Mar 31, 2026, up 22.9% year-over-year; for FY2025, it was $241.2 million, up 41.5% from FY2024.
- Selling, General & Administrative has now increased for five consecutive years, with a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $170.4 million in FY2024 (+1.2%), $168.3 million in FY2023 (+16.1%), $145 million in FY2022 (+1.4%) and $143 million in FY2021 (+20.6%).
- The Q1 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to Q1 2016.
- Compared with a year earlier, Selling, General & Administrative was higher in two of the last six quarters, with growth averaging 6.3%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2023 (growth of 107.5%); the worst was Q4 2022 (a decline of 56.8%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Live Nation Entertainment | 40.51 Bn | 9.58 Bn | 1.94 Bn | 1.13 Bn |
| 2 | TKO Group Holdings | 34.58 Bn | 31.54 Bn | 990.96 Mn | 462.65 Mn |
| 3 | Liberty Media | 19.43 Bn | 14.75 Bn | 329.00 Mn | 129.00 Mn |
| 4 | Liberty Live Holdings | 8.93 Bn | 6.98 Bn | 30.26 Mn | 1.14 Mn |
| 5 | Madison Square Garden Entertainment | 3.31 Bn | 2.50 Bn | 75.84 Mn | 67.21 Mn |
| 6 | Amc Entertainment Holdings | 2.37 Bn | 456.31 Mn | 1.05 Bn | - |
| 7 | Emerald Holding | 997.46 Mn | 523.66 Mn | 99.50 Mn | 71.90 Mn |
| 8 | Marcus | 882.04 Mn | 813.63 Mn | 106.56 Mn | 23.69 Mn |
| 9 | Reading International | 41.78 Mn | 12.09 Mn | 14.10 Mn | 4.40 Mn |
| 10 | Nip | 31.30 Mn | -28,742.19 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 71.90 Mn |
| Jun 30, 2025 | 47.10 Mn |
| Mar 31, 2025 | 54.10 Mn |
| Dec 31, 2024 | 34.60 Mn |
| Sep 30, 2024 | 40.80 Mn |
| Jun 30, 2024 | 39.50 Mn |
| Mar 31, 2024 | 55.50 Mn |
| Dec 31, 2023 | 36.10 Mn |
| Sep 30, 2023 | 41.60 Mn |
| Jun 30, 2023 | 41.80 Mn |
| Mar 31, 2023 | 48.80 Mn |
| Dec 31, 2022 | 17.40 Mn |
| Sep 30, 2022 | 48.70 Mn |
| Jun 30, 2022 | 32.30 Mn |
| Mar 31, 2022 | 46.60 Mn |
| Dec 31, 2021 | 40.30 Mn |
| Sep 30, 2021 | 38.80 Mn |
| Jun 30, 2021 | 33.10 Mn |
| Mar 31, 2021 | 30.80 Mn |
| Dec 31, 2020 | 29.80 Mn |
Emerald Holding 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=EEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "EEX", "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=EEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();