Greenlane Holdings (GNLN) Operating Expenses (2018 - 2026)
Greenlane Holdings' Operating Expenses was $3.63 million in Q2 2026, up 11.3% from $3.26 million a year earlier but down 37.4% from the prior quarter.
Greenlane Holdings (GNLN) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Greenlane Holdings' Operating Expenses was $43.91 million through Jun 30, 2026, up 182.3% year-over-year; for FY2025, it came in at $41.78 million, up 130.9% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -10.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $18.1 million in FY2024 (-58.8%), $43.91 million in FY2023 (-79.0%), $209.09 million in FY2022 (+141.5%) and $86.58 million in FY2021 (+20.7%).
- Quarterly Operating Expenses has moved between $3.26 million (Q2 2025) and $142.46 million (Q3 2022) over five years.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 59.8% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2025 (growth of 572.9%); the worst was Q3 2023 (a decline of 93.0%).
- Per Business Quant data, GNLN's Operating Expenses in the three quarters before Q2 2026 was $5.79 million (Q1 2026), $30.5 million (Q4 2025) and $4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 50.59 Bn | 7.40 Bn | - | 1.33 Bn |
| 2 | PayPal Holdings | 46.79 Bn | 5.01 Bn | - | 7.26 Bn |
| 3 | Block | 44.05 Bn | 15.31 Bn | 3.17 Bn | 2.72 Bn |
| 4 | Iren | 31.74 Bn | 19.34 Bn | 103.89 Mn | 128.25 Mn |
| 5 | Corpay | 26.01 Bn | 16.21 Bn | - | 260.40 Mn |
| 6 | Fiserv | 24.47 Bn | 21.17 Bn | 2.90 Bn | 4.28 Bn |
| 7 | Global Payments | 22.51 Bn | 952.73 Mn | 2.03 Bn | 2.98 Bn |
| 8 | Bitmine Immersion Technologies | 15.56 Bn | 12.94 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Guidewire Software | 11.90 Bn | 8.47 Bn | 269.68 Mn | 207.36 Mn |
| 10 | Greenlane Holdings | 11.10 Mn | -42.64 Mn | 32,000.00 | 3.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.63 Mn |
| Mar 31, 2026 | 5.79 Mn |
| Dec 31, 2025 | 30.50 Mn |
| Sep 30, 2025 | 4.00 Mn |
| Jun 30, 2025 | 3.26 Mn |
| Mar 31, 2025 | 4.20 Mn |
| Dec 31, 2024 | 4.53 Mn |
| Sep 30, 2024 | 3.57 Mn |
| Jun 30, 2024 | 4.51 Mn |
| Mar 31, 2024 | 5.49 Mn |
| Dec 31, 2023 | 7.62 Mn |
| Sep 30, 2023 | 10.02 Mn |
| Jun 30, 2023 | 12.60 Mn |
| Mar 31, 2023 | 13.54 Mn |
| Dec 31, 2022 | 20.67 Mn |
| Sep 30, 2022 | 142.46 Mn |
| Jun 30, 2022 | 21.77 Mn |
| Mar 31, 2022 | 24.18 Mn |
| Dec 31, 2021 | 26.26 Mn |
| Sep 30, 2021 | 29.19 Mn |
Greenlane 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=GNLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GNLN", "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=GNLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();