SurgePays (SURG) Total Current Liabilities (2010 - 2026)
SurgePays (SURG) posted Total Current Liabilities of $26.16 million for Q2 2026, up 200.6% from $8.7 million a year earlier but down 12.9% from the prior quarter.
SurgePays (SURG) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, SurgePays' Total Current Liabilities came in at $18.2 million, up 200.4% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, SurgePays' Total Current Liabilities was $6.06 million in FY2024 (-52.3%), $12.71 million in FY2023 (-45.9%), $23.46 million in FY2022 (+134.7%) and $10 million in FY2021 (-36.2%).
- Quarterly Total Current Liabilities has run from a low of $5.43 million in Q3 2024 to a high of $30.04 million in Q1 2026 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last five quarters, with growth averaging 115.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2026, with growth of 423.4%; the weakest was Q2 2024, with a decline of 64.3%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $30.04 million (Q1 2026), $18.2 million (Q4 2025) and $17.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 193.94 Bn | 158.35 Bn | 27.03 Bn | 62.21 Bn |
| 2 | T-Mobile US | 178.90 Bn | 163.65 Bn | 14.76 Bn | 23.55 Bn |
| 3 | At&T | 170.76 Bn | 118.71 Bn | 25.82 Bn | 53.38 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | 1.57 Bn |
| 5 | Comcast | 77.07 Bn | 41.32 Bn | - | 33.09 Bn |
| 6 | Chunghwa Telecom | 35.67 Bn | 31.52 Bn | 728.80 Mn | 3.72 Bn |
| 7 | EchoStar | 25.89 Bn | 17.02 Bn | 1.65 Bn | 3.82 Bn |
| 8 | AST SpaceMobile | 23.74 Bn | 24.24 Bn | 7.95 Mn | 191.04 Mn |
| 9 | Bce | 19.19 Bn | 17.52 Bn | - | 7.44 Bn |
| 10 | SurgePays | 3.71 Mn | -5.67 Mn | -425,171.00 | 26.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.16 Mn |
| Mar 31, 2026 | 30.04 Mn |
| Dec 31, 2025 | 18.20 Mn |
| Sep 30, 2025 | 17.67 Mn |
| Jun 30, 2025 | 8.70 Mn |
| Mar 31, 2025 | 5.74 Mn |
| Dec 31, 2024 | 6.06 Mn |
| Sep 30, 2024 | 5.43 Mn |
| Jun 30, 2024 | 6.60 Mn |
| Mar 31, 2024 | 9.43 Mn |
| Dec 31, 2023 | 12.71 Mn |
| Sep 30, 2023 | 14.48 Mn |
| Jun 30, 2023 | 18.48 Mn |
| Mar 31, 2023 | 25.65 Mn |
| Dec 31, 2022 | 23.46 Mn |
| Sep 30, 2022 | 26.93 Mn |
| Jun 30, 2022 | 21.33 Mn |
| Mar 31, 2022 | 8.92 Mn |
| Dec 31, 2021 | 10.00 Mn |
| Sep 30, 2021 | 11.24 Mn |
SurgePays Total Current 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-current-liabilities&ticker=SURG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=SURG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();