SurgePays (SURG) Cash & Equivalents (2010 - 2026)
SurgePays' Cash & Equivalents was $2.38 million in Q2 2026, down 46.0% from $4.4 million a year earlier and down 1.5% from the prior quarter.
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Analysis
SurgePays (SURG) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at SurgePays came in at $2.01 million, down 84.3% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $12.79 million in FY2024 (-12.5%), $14.62 million in FY2023 (+107.8%), $7.04 million in FY2022 (+12.0%) and $6.28 million in FY2021 (+832.3%).
- Quarterly Cash & Equivalents has moved between $635,527 (Q3 2021) and $42.95 million (Q1 2024) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for seven straight quarters, with an average decline of 56.0% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2021 (growth of 832.3%); the worst was Q2 2025 (a decline of 88.5%).
- Per Business Quant data, SURG's Cash & Equivalents in the three quarters before Q2 2026 was $2.42 million (Q1 2026), $2.01 million (Q4 2025) and $2.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 1.75 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 2.83 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 17.57 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | 1.70 Bn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | 7.66 Bn |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 1.34 Bn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 439.99 Mn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 2.29 Bn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | 1.68 Bn |
| 10 | SurgePays | 3.98 Mn | -5.40 Mn | -425,171.00 | 2.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.38 Mn |
| Mar 31, 2026 | 2.42 Mn |
| Dec 31, 2025 | 2.01 Mn |
| Sep 30, 2025 | 2.51 Mn |
| Jun 30, 2025 | 4.40 Mn |
| Mar 31, 2025 | 5.40 Mn |
| Dec 31, 2024 | 12.79 Mn |
| Sep 30, 2024 | 13.65 Mn |
| Jun 30, 2024 | 38.43 Mn |
| Mar 31, 2024 | 42.95 Mn |
| Dec 31, 2023 | 14.62 Mn |
| Sep 30, 2023 | 12.73 Mn |
| Jun 30, 2023 | 5.19 Mn |
| Mar 31, 2023 | 8.86 Mn |
| Dec 31, 2022 | 7.04 Mn |
| Sep 30, 2022 | 7.89 Mn |
| Jun 30, 2022 | 8.70 Mn |
| Mar 31, 2022 | 3.44 Mn |
| Dec 31, 2021 | 6.28 Mn |
| Sep 30, 2021 | 635,527.00 |
API Access
SurgePays Cash & Equivalents 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=cash-and-equivalents&ticker=SURG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SURG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();