T1 Energy (TE) Selling, General & Administrative (2023 - 2026)
T1 Energy (TE) recorded Selling, General & Administrative of $71.88 million in Q2 2026, up 14.6% from $62.71 million a year earlier and up 39.3% from the prior quarter.
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Analysis
T1 Energy (TE) Selling, General & Administrative (2023 - 2026) Analysis & Trends
On a TTM basis, T1 Energy's Selling, General & Administrative came in at $255.42 million as of Jun 30, 2026, up 63.1% year-over-year; for FY2025, it came in at $235.32 million, up 197.1% from FY2024.
- Annual Selling, General & Administrative has a four-year compound annual growth rate of 39.7% (FY2021 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $79.2 million in FY2024 (+20.9%), $65.53 million in FY2023 (-39.0%), $107.36 million in FY2022 (+73.8%) and $61.76 million in FY2021.
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2023.
- On a year-over-year basis, Selling, General & Administrative has increased for six consecutive quarters, with growth averaging 130.4% over the last seven quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 358.3% in Q2 2025, against a decline of 50.5% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.59 million (Q1 2026), $69.29 million (Q4 2025) and $62.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn | 1.37 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn | 71.42 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn | 51.95 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn | 108.43 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn | 73.16 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn | 100.44 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn | - |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn | 31.33 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn | 105.10 Mn |
| 10 | T1 Energy | 1.08 Bn | 814.55 Mn | 49.10 Mn | 71.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.88 Mn |
| Mar 31, 2026 | 51.59 Mn |
| Dec 31, 2025 | 69.29 Mn |
| Sep 30, 2025 | 62.66 Mn |
| Jun 30, 2025 | 62.71 Mn |
| Mar 31, 2025 | 43.38 Mn |
| Dec 31, 2024 | 33.11 Mn |
| Sep 30, 2024 | 17.40 Mn |
| Jun 30, 2024 | 13.68 Mn |
| Mar 31, 2024 | 15.00 Mn |
| Dec 31, 2023 | -19.88 Mn |
| Sep 30, 2023 | 27.77 Mn |
| Jun 30, 2023 | 27.63 Mn |
| Mar 31, 2023 | 30.00 Mn |
API Access
T1 Energy Selling, General & Administrative 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=selling-general-and-administrative&ticker=TE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "TE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=TE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();