GenFlat Holdings (GFLT) Operating Expenses (2019 - 2026)
GenFlat Holdings' (GFLT) quarterly Operating Expenses came in at $848776.0 in Q1 2026, up 69.78% on a YoY basis from $499926.0 in Q1 2025, and up 110.64% quarter-over-quarter from $402950.0 in Q4 2025.
GenFlat Holdings (GFLT) Operating Expenses (2019 - 2026) Analysis & Trends
GenFlat Holdings (GFLT) has reported Operating Expenses for 8 consecutive years, with $848776.0 the latest figure, recorded in Q1 2026.
- For the quarter ending Q1 2026, Operating Expenses rose 69.78% year-over-year to $848776.0; the trailing twelve-month figure through Mar 2026 stood at $3.3 million (changed 0.49% YoY), and the FY2025 full-year result was $4.5 million, up 324.49% from the prior year.
- Operating Expenses advanced to $848776.0 in Q1 2026 per GFLT's latest filing, from $402950.0 in the prior quarter.
- Across five years, Operating Expenses topped out at $1.7 million in Q3 2024 and bottomed at $28840.0 in Q2 2023.
- Historically, Operating Expenses has averaged $526322.5 across 5 years, with a median of $444207.0 in 2025.
- The widest YoY moves for Operating Expenses: up 1592.09% in 2022, down 84.84% in 2022.
- Over 5 years, Operating Expenses stood at $33037.0 in 2022, then soared by 1418.33% to $501611.0 in 2023, then surged by 57.83% to $791674.0 in 2024, then slumped by 49.1% to $402950.0 in 2025, then soared by 110.64% to $848776.0 in 2026.
- According to Business Quant data, Operating Expenses over the past three periods registered $848776.0, $402950.0, and $485464.0 for Q1 2026, Q4 2025, and Q3 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Westinghouse Air Brake Technologies | 47.94 Bn | 47.30 Bn | 1.16 Bn | 561.00 Mn |
| 2 | Gatx | 6.37 Bn | 7.18 Bn | 555.30 Mn | 419.70 Mn |
| 3 | Trinity Industries | 2.22 Bn | 2.07 Bn | 109.90 Mn | 51.10 Mn |
| 4 | Triton International | 1.41 Bn | 1.41 Bn | 622,000.00 | 131.78 Mn |
| 5 | Greenbrier Companies | 1.30 Bn | 1.15 Bn | 81.10 Mn | 55.20 Mn |
| 6 | Foster L B | 387.55 Mn | 382.66 Mn | 30.87 Mn | 24.11 Mn |
| 7 | FreightCar America | 240.12 Mn | 175.82 Mn | - | - |
| 8 | GenFlat Holdings | 32.89 Mn | 28.89 Mn | -32,922.00 | 848,776.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 848,776.00 |
| Dec 31, 2025 | 402,950.00 |
| Sep 30, 2025 | 485,464.00 |
| Jun 30, 2025 | 1.53 Mn |
| Mar 31, 2025 | 499,926.00 |
| Dec 31, 2024 | 791,674.00 |
| Sep 30, 2024 | 1.72 Mn |
| Jun 30, 2024 | 234,301.00 |
| Mar 31, 2024 | 199,991.00 |
| Dec 31, 2023 | 501,611.00 |
| Sep 30, 2023 | 133,521.00 |
| May 31, 2023 | 28,840.00 |
| Nov 30, 2022 | 33,037.00 |
| Aug 31, 2022 | 29,168.00 |
| May 31, 2022 | 65,412.00 |
| Feb 28, 2022 | 918,468.00 |
| Nov 30, 2021 | 217,857.00 |
| Aug 31, 2021 | 179,397.00 |
| May 31, 2021 | 346,377.00 |
| Feb 28, 2021 | 54,280.00 |
GenFlat Holdings Operating Expenses 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=operating-expenses&ticker=GFLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GFLT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=GFLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();