SurgePays (SURG) Depreciation and Depletion (2018 - 2026)
SurgePays (SURG) posted Depreciation and Depletion of $53,803 for Q2 2026, down 13.6% from $62,277 a year earlier but up 2.1% from the prior quarter.
SurgePays (SURG) Depreciation and Depletion (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at SurgePays was $234,334, down 49.2% year-over-year; for FY2025, it came in at $251,371, up 98.0% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In prior years, SurgePays' Depreciation and Depletion was $126,970 in FY2024 (+192.0%), $43,483 in FY2023 (-84.5%), $279,877 in FY2022 (+77.0%) and $158,085 in FY2021 (-19.9%).
- Quarterly Depreciation and Depletion has run from a low of -$657,796 in Q4 2023 to a high of $282,067 in Q3 2024 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in three of the last seven quarters, with growth averaging 13.5%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2022, with growth of 690.3%; the weakest was Q3 2025, with a decline of 77.6%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $52,716 (Q1 2026), $64,502 (Q4 2025) and $63,313 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | - |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | - |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | - |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | - |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | 2.39 Bn |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | - |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | - |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | - |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | - |
| 10 | SurgePays | 3.98 Mn | -5.40 Mn | -425,171.00 | 53,803.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53,803.00 |
| Mar 31, 2026 | 52,716.00 |
| Dec 31, 2025 | 64,502.00 |
| Sep 30, 2025 | 63,313.00 |
| Jun 30, 2025 | 62,277.00 |
| Mar 31, 2025 | 61,279.00 |
| Dec 31, 2024 | 56,113.00 |
| Sep 30, 2024 | 282,067.00 |
| Jun 30, 2024 | 70,383.00 |
| Mar 31, 2024 | 23,363.00 |
| Dec 31, 2023 | -657,796.00 |
| Sep 30, 2023 | 211,149.00 |
| Jun 30, 2023 | 70,383.00 |
| Mar 31, 2023 | 70,383.00 |
| Dec 31, 2022 | -384,657.00 |
| Sep 30, 2022 | 140,318.00 |
| Jun 30, 2022 | 28,184.00 |
| Mar 31, 2022 | 23,952.00 |
| Dec 31, 2021 | 35,404.00 |
| Sep 30, 2021 | 17,756.00 |
SurgePays Depreciation and Depletion 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=depreciation-and-depletion&ticker=SURG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SURG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();