SurgePays (SURG) Total Liabilities (2010 - 2026)
SurgePays (SURG) posted Total Liabilities of $29.99 million for Q2 2026, up 97.9% from $15.15 million a year earlier but down 10.1% from the prior quarter.
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Analysis
SurgePays (SURG) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, SurgePays' Total Liabilities came in at $23.92 million, up 174.5% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In prior years, SurgePays' Total Liabilities was $8.71 million in FY2024 (-35.6%), $13.52 million in FY2023 (-53.2%), $28.89 million in FY2022 (+81.1%) and $15.95 million in FY2021 (-11.6%).
- Quarterly Total Liabilities has run from a low of $7.88 million in Q1 2025 to a high of $33.37 million in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 83.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 323.3%; the weakest was Q3 2024, with a decline of 57.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $33.37 million (Q1 2026), $23.92 million (Q4 2025) and $20.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 193.94 Bn | 158.35 Bn | 27.03 Bn | 304.99 Bn |
| 2 | T-Mobile US | 178.90 Bn | 163.65 Bn | 14.76 Bn | 157.29 Bn |
| 3 | At&T | 170.76 Bn | 118.71 Bn | 25.82 Bn | 301.93 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | 7.70 Bn |
| 5 | Comcast | 77.07 Bn | 41.32 Bn | - | 167.78 Bn |
| 6 | Chunghwa Telecom | 35.67 Bn | 31.52 Bn | 728.80 Mn | 5.92 Bn |
| 7 | EchoStar | 25.89 Bn | 17.02 Bn | 1.65 Bn | 25.22 Bn |
| 8 | AST SpaceMobile | 23.74 Bn | 24.24 Bn | 7.95 Mn | 3.46 Bn |
| 9 | Bce | 19.19 Bn | 17.52 Bn | - | 41.11 Bn |
| 10 | SurgePays | 3.71 Mn | -5.67 Mn | -425,171.00 | 29.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.99 Mn |
| Mar 31, 2026 | 33.37 Mn |
| Dec 31, 2025 | 23.92 Mn |
| Sep 30, 2025 | 20.92 Mn |
| Jun 30, 2025 | 15.15 Mn |
| Mar 31, 2025 | 7.88 Mn |
| Dec 31, 2024 | 8.71 Mn |
| Sep 30, 2024 | 8.22 Mn |
| Jun 30, 2024 | 10.12 Mn |
| Mar 31, 2024 | 13.40 Mn |
| Dec 31, 2023 | 13.52 Mn |
| Sep 30, 2023 | 19.40 Mn |
| Jun 30, 2023 | 23.38 Mn |
| Mar 31, 2023 | 30.59 Mn |
| Dec 31, 2022 | 28.89 Mn |
| Sep 30, 2022 | 32.90 Mn |
| Jun 30, 2022 | 27.32 Mn |
| Mar 31, 2022 | 15.45 Mn |
| Dec 31, 2021 | 15.95 Mn |
| Sep 30, 2021 | 19.18 Mn |
API Access
SurgePays Total Liabilities 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=total-liabilities&ticker=SURG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SURG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();