SurgePays (SURG) Long-Term Debt Repayments (2015 - 2026)
SurgePays (SURG) posted Long-Term Debt Repayments of $238,011 for Q2 2026, down 14.0% from $276,643 a year earlier and down 31.6% from the prior quarter.
Powered by 
Analysis
SurgePays (SURG) Long-Term Debt Repayments (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at SurgePays was $4.65 million, up 217.4% year-over-year; for FY2025, it was $4.75 million, up 211.0% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 74.3% (FY2020 to FY2025).
- In prior years, SurgePays' Long-Term Debt Repayments was $1.53 million in FY2024 (-4.2%), $1.6 million in FY2023 (-69.5%), $5.23 million in FY2022 (+111.2%) and $2.48 million in FY2021 (+737.5%).
- Quarterly Long-Term Debt Repayments has run from a low of -$40,277 in Q3 2021 to a high of $3.93 million in Q4 2025 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last seven quarters, with growth averaging 186.5%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q4 2025, with growth of 892.1%; the weakest was Q2 2024, with a decline of 64.2%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $347,983 (Q1 2026), $3.93 million (Q4 2025) and $140,440 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 185.83 Bn | 148.96 Bn | 27.03 Bn | 17.25 Bn |
| 2 | T-Mobile US | 170.74 Bn | 155.49 Bn | 14.76 Bn | 1.70 Bn |
| 3 | At&T | 155.96 Bn | 87.92 Bn | 25.82 Bn | 582.00 Mn |
| 4 | Grupo Televisa, S.A.B | 146.39 Bn | 138.13 Bn | 318.12 Mn | - |
| 5 | Comcast | 82.10 Bn | 46.16 Bn | - | 4.16 Bn |
| 6 | Vodafone Group Public | 38.46 Bn | 7.86 Bn | - | - |
| 7 | Chunghwa Telecom | 37.72 Bn | 29.73 Bn | 728.80 Mn | -23.30 Mn |
| 8 | EchoStar | 25.51 Bn | 16.60 Bn | 1.65 Bn | 10.57 Mn |
| 9 | Telefonica Brasil | 21.00 Bn | 15.02 Bn | 1.42 Bn | - |
| 10 | SurgePays | 3.28 Mn | -6.04 Mn | -425,171.00 | 238,011.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 238,011.00 |
| Mar 31, 2026 | 347,983.00 |
| Dec 31, 2025 | 3.27 Mn |
| Sep 30, 2025 | 798,266.00 |
| Jun 30, 2025 | 276,643.00 |
| Mar 31, 2025 | 407,776.00 |
| Dec 31, 2024 | 395,825.00 |
| Sep 30, 2024 | 385,970.00 |
| Jun 30, 2024 | 377,683.00 |
| Mar 31, 2024 | 368,421.00 |
| Dec 31, 2023 | 63,689.00 |
| Sep 30, 2023 | 560,524.00 |
| Jun 30, 2023 | 1.11 Mn |
| Mar 31, 2023 | 877,853.00 |
| Dec 31, 2021 | 4.69 Mn |
| Sep 30, 2021 | 59,723.00 |
| Jun 30, 2021 | 107,073.00 |
| Mar 31, 2021 | 1.47 Mn |
| Dec 31, 2020 | 181,447.00 |
| Sep 30, 2020 | 45,196.00 |
API Access
SurgePays Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SURG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=SURG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();