SurgePays (SURG) Selling, General & Administrative (2010 - 2026)
SurgePays' Selling, General & Administrative was $4.63 million in Q2 2026, up 11.5% from $4.16 million a year earlier and up 32.3% from the prior quarter.
SurgePays (SURG) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, SurgePays' Selling, General & Administrative was $19.41 million through Jun 30, 2026, down 13.3% year-over-year; for FY2025, it came in at $20.07 million, down 26.9% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $27.46 million in FY2024 (+63.7%), $16.78 million in FY2023 (+30.7%), $12.84 million in FY2022 (+5.5%) and $12.16 million in FY2021 (-3.6%).
- Quarterly Selling, General & Administrative has moved between $1.9 million (Q4 2021) and $7.43 million (Q2 2024) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in three of the last eight quarters, with an average decline of 2.7%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2021 (growth of 216.8%); the worst was Q2 2025 (a decline of 44.1%).
- Per Business Quant data, SURG's Selling, General & Administrative in the three quarters before Q2 2026 was $3.5 million (Q1 2026), $6.92 million (Q4 2025) and $4.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 8.98 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 5.83 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 7.22 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | -115.06 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 61.34 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 547.85 Mn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 63.90 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | -203.00 Mn |
| 10 | SurgePays | 3.98 Mn | -5.40 Mn | -425,171.00 | 4.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.63 Mn |
| Mar 31, 2026 | 3.50 Mn |
| Dec 31, 2025 | 6.92 Mn |
| Sep 30, 2025 | 4.35 Mn |
| Jun 30, 2025 | 4.16 Mn |
| Mar 31, 2025 | 4.64 Mn |
| Dec 31, 2024 | 7.15 Mn |
| Sep 30, 2024 | 6.45 Mn |
| Jun 30, 2024 | 7.43 Mn |
| Mar 31, 2024 | 6.43 Mn |
| Dec 31, 2023 | 6.58 Mn |
| Sep 30, 2023 | 3.39 Mn |
| Jun 30, 2023 | 3.82 Mn |
| Mar 31, 2023 | 2.99 Mn |
| Dec 31, 2022 | 3.18 Mn |
| Sep 30, 2022 | 2.93 Mn |
| Jun 30, 2022 | 3.04 Mn |
| Mar 31, 2022 | 3.68 Mn |
| Dec 31, 2021 | 1.90 Mn |
| Sep 30, 2021 | 2.91 Mn |
SurgePays 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=SURG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SURG", "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=SURG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();