FTC Solar (FTCI) Cost of Revenue (2020 - 2026)
FTC Solar (FTCI) recorded Cost of Revenue of $28.39 million in Q2 2026, up 18.7% from $23.91 million a year earlier and up 53.5% from the prior quarter.
FTC Solar (FTCI) Cost of Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, FTC Solar's Cost of Revenue came in at $99.29 million as of Jun 30, 2026, up 24.7% year-over-year; for FY2025, it came in at $100.57 million, up 67.8% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $59.95 million in FY2024 (-49.5%), $118.7 million in FY2023 (-21.0%), $150.29 million in FY2022 (-50.4%) and $303.07 million in FY2021 (+65.0%).
- The Q2 2026 figure is the highest quarterly Cost of Revenue since Q2 2023.
- On a year-over-year basis, Cost of Revenue rose in five of the last eight quarters, with growth averaging 24.5%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 125.1% in Q4 2021, against a decline of 74.5% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.49 million (Q1 2026), $27.97 million (Q4 2025) and $24.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 263.36 Bn | 224.44 Bn | 2.36 Bn | 8.74 Bn |
| 2 | Bloom Energy | 84.85 Bn | 76.67 Bn | 355.57 Mn | 709.79 Mn |
| 3 | First Solar | 18.77 Bn | 9.72 Bn | 605.00 Mn | 451.19 Mn |
| 4 | Generac Holdings | 12.79 Bn | 11.62 Bn | 521.81 Mn | 651.70 Mn |
| 5 | Nextpower | 12.78 Bn | 8.68 Bn | 335.85 Mn | 599.32 Mn |
| 6 | BWX Technologies | 12.36 Bn | 10.66 Bn | 202.31 Mn | 699.32 Mn |
| 7 | EnerSys | 7.13 Bn | 5.32 Bn | 313.36 Mn | 622.28 Mn |
| 8 | Enphase Energy | 4.42 Bn | -436.70 Mn | 175.01 Mn | 116.84 Mn |
| 9 | Mirion Technologies | 3.57 Bn | 1.46 Bn | 133.10 Mn | 133.70 Mn |
| 10 | FTC Solar | 35.38 Mn | -26.81 Mn | -2.23 Mn | 28.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.39 Mn |
| Mar 31, 2026 | 18.49 Mn |
| Dec 31, 2025 | 27.97 Mn |
| Sep 30, 2025 | 24.44 Mn |
| Jun 30, 2025 | 23.91 Mn |
| Mar 31, 2025 | 24.25 Mn |
| Dec 31, 2024 | 17.04 Mn |
| Sep 30, 2024 | 14.44 Mn |
| Jun 30, 2024 | 13.77 Mn |
| Mar 31, 2024 | 14.70 Mn |
| Dec 31, 2023 | 22.51 Mn |
| Sep 30, 2023 | 27.17 Mn |
| Jun 30, 2023 | 30.16 Mn |
| Mar 31, 2023 | 38.86 Mn |
| Dec 31, 2022 | 28.13 Mn |
| Sep 30, 2022 | 26.09 Mn |
| Jun 30, 2022 | 37.23 Mn |
| Mar 31, 2022 | 58.84 Mn |
| Dec 31, 2021 | 110.30 Mn |
| Sep 30, 2021 | 61.03 Mn |
FTC Solar 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=FTCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "FTCI", "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=FTCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();