SurgePays (SURG) Total Non-Current Liabilities (2016 - 2026)
SurgePays (SURG) posted Total Non-Current Liabilities of $3.83 million for Q2 2026, down 40.7% from $6.45 million a year earlier but up 15.0% from the prior quarter.
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Analysis
SurgePays (SURG) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, SurgePays' Total Non-Current Liabilities came in at $5.72 million, up 115.3% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- In prior years, SurgePays' Total Non-Current Liabilities was $2.65 million in FY2024 (+225.0%), $816,799 in FY2023 (-84.9%), $5.42 million in FY2022 (-8.9%) and $5.95 million in FY2021 (+149.0%).
- Quarterly Total Non-Current Liabilities has run from a low of $816,799 in Q4 2023 to a high of $7.93 million in Q3 2021 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in five of the last eight quarters, with growth averaging 45.7%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2024, with growth of 225.0%; the weakest was Q4 2023, with a decline of 84.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $3.33 million (Q1 2026), $5.72 million (Q4 2025) and $3.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 242.78 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 133.73 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 190.02 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 1.39 Bn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 146.48 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 18.63 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 21.41 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 3.42 Bn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 33.67 Bn |
| 10 | SurgePays | 3.98 Mn | -5.40 Mn | -425,171.00 | 3.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.83 Mn |
| Mar 31, 2026 | 3.33 Mn |
| Dec 31, 2025 | 5.72 Mn |
| Sep 30, 2025 | 3.25 Mn |
| Jun 30, 2025 | 6.45 Mn |
| Mar 31, 2025 | 2.14 Mn |
| Dec 31, 2024 | 2.65 Mn |
| Sep 30, 2024 | 2.79 Mn |
| Jun 30, 2024 | 3.52 Mn |
| Mar 31, 2024 | 3.97 Mn |
| Dec 31, 2023 | 816,799.00 |
| Sep 30, 2023 | 4.91 Mn |
| Jun 30, 2023 | 4.90 Mn |
| Mar 31, 2023 | 4.94 Mn |
| Dec 31, 2022 | 5.42 Mn |
| Sep 30, 2022 | 5.97 Mn |
| Jun 30, 2022 | 5.99 Mn |
| Mar 31, 2022 | 6.53 Mn |
| Dec 31, 2021 | 5.95 Mn |
| Sep 30, 2021 | 7.93 Mn |
API Access
SurgePays Total Non-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-non-current-liabilities&ticker=SURG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=SURG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();