Expion Energy (XPON) Cost of Revenue (2021 - 2026)
Expion Energy (XPON) posted Cost of Revenue of $1.37 million for Q2 2026, down 42.1% from $2.37 million a year earlier but up 17.3% from the prior quarter.
Expion Energy (XPON) Cost of Revenue (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Expion Energy was $6.94 million, up 3.9% year-over-year; for FY2025, it was $8.31 million, up 86.0% from FY2024.
- Annual Cost of Revenue shows a four-year compound annual growth rate of 30.4% (FY2021 to FY2025).
- In prior years, Expion Energy's Cost of Revenue was $4.47 million in FY2024 (+1.5%), $4.41 million in FY2023 (-9.6%), $4.87 million in FY2022 (+69.7%) and $2.87 million in FY2021.
- Quarterly Cost of Revenue has run from a low of $653,605 in Q4 2023 to a high of $2.55 million in Q4 2025 over five years.
- On a year-over-year basis, Cost of Revenue increased in five of the last eight quarters, with growth averaging 53.5%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2025, with growth of 148.5%; the weakest was Q2 2026, with a decline of 42.1%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $1.17 million (Q1 2026), $2.55 million (Q4 2025) and $1.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 218.75 Bn | 169.85 Bn | 3.11 Bn | 9.54 Bn |
| 2 | Bloom Energy | 57.19 Bn | 47.09 Bn | 417.10 Mn | 818.73 Mn |
| 3 | First Solar | 20.58 Bn | 11.95 Bn | 713.06 Mn | 517.88 Mn |
| 4 | Nextpower | 15.78 Bn | 11.49 Bn | 345.32 Mn | 763.96 Mn |
| 5 | BWX Technologies | 11.80 Bn | 9.61 Bn | 227.14 Mn | 725.83 Mn |
| 6 | Generac Holdings | 11.22 Bn | 9.96 Bn | 516.04 Mn | 778.74 Mn |
| 7 | EnerSys | 5.63 Bn | 3.82 Bn | 313.36 Mn | 622.28 Mn |
| 8 | Mirion Technologies | 4.70 Bn | 3.07 Bn | 131.50 Mn | 146.30 Mn |
| 9 | Enphase Energy | 3.86 Bn | -454.81 Mn | 127.12 Mn | 166.21 Mn |
| 10 | Expion Energy | 2.63 Mn | -9.28 Mn | 658,266.00 | 1.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.37 Mn |
| Mar 31, 2026 | 1.17 Mn |
| Dec 31, 2025 | 2.55 Mn |
| Sep 30, 2025 | 1.85 Mn |
| Jun 30, 2025 | 2.37 Mn |
| Mar 31, 2025 | 1.55 Mn |
| Dec 31, 2024 | 1.55 Mn |
| Sep 30, 2024 | 1.22 Mn |
| Jun 30, 2024 | 952,646.00 |
| Mar 31, 2024 | 749,337.00 |
| Dec 31, 2023 | 653,605.00 |
| Sep 30, 2023 | 1.42 Mn |
| Jun 30, 2023 | 1.27 Mn |
| Mar 31, 2023 | 1.06 Mn |
| Dec 31, 2022 | 1.10 Mn |
| Sep 30, 2022 | 980,141.00 |
| Jun 30, 2022 | 1.50 Mn |
| Mar 31, 2022 | 1.29 Mn |
| Dec 31, 2021 | 847,328.00 |
| Sep 30, 2021 | 796,966.00 |
Expion Energy Cost of Revenue 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=cost-of-revenue&ticker=XPON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "XPON", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=XPON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();