Greenlane Holdings (GNLN) Return on Capital Employed [ROCE] (2019 - 2026)
Greenlane Holdings' Return on Capital Employed [ROCE] was -150.46% in Q2 2026, down 102.57 percentage points from -47.89% a year earlier and down 55.38 percentage points from the prior quarter.
Greenlane Holdings (GNLN) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Greenlane Holdings came in at -121.70%, down 15.22 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -70.72 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -106.48% in FY2024 (-37.47 pp), -69.01% in FY2023 (+52.04 pp), -121.04% in FY2022 (-81.48 pp) and -39.56% in FY2021 (+11.42 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q1 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for three straight quarters, with an average year-over-year change of +12.16 percentage points over the last five quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2025 (a gain of 185.23 percentage points); the worst was Q2 2023 (a drop of 477.71 percentage points).
- Per Business Quant data, GNLN's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -95.07% (Q1 2026), -139.24% (Q4 2025) and -108.56% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Coinbase Global | 48.27 Bn | 5.08 Bn | - | 3.03% |
| 2 | PayPal Holdings | 45.51 Bn | 3.74 Bn | - | 17.89% |
| 3 | Block | 44.67 Bn | 15.93 Bn | 3.17 Bn | 4.02% |
| 4 | Iren | 31.78 Bn | 19.37 Bn | 103.89 Mn | -11.25% |
| 5 | Corpay | 25.91 Bn | 16.11 Bn | - | 20.94% |
| 6 | Fiserv | 23.59 Bn | 20.29 Bn | 2.90 Bn | 8.26% |
| 7 | Global Payments | 20.83 Bn | -735.18 Mn | 2.03 Bn | 2.55% |
| 8 | Bitmine Immersion Technologies | 15.23 Bn | 12.61 Bn | 40.81 Mn | -82.57% |
| 9 | Guidewire Software | 12.47 Bn | 9.03 Bn | 269.68 Mn | 7.92% |
| 10 | Greenlane Holdings | 10.90 Mn | -42.84 Mn | 32,000.00 | -150.46% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -150.46% |
| Mar 31, 2026 | -95.07% |
| Dec 31, 2025 | -139.24% |
| Sep 30, 2025 | -108.56% |
| Jun 30, 2025 | -47.89% |
| Mar 31, 2025 | -61.38% |
| Dec 31, 2024 | -131.86% |
| Mar 31, 2024 | -246.61% |
| Dec 31, 2023 | -151.06% |
| Sep 30, 2023 | -163.28% |
| Jun 30, 2023 | -512.59% |
| Mar 31, 2023 | -384.02% |
| Dec 31, 2022 | -293.00% |
| Sep 30, 2022 | -130.30% |
| Jun 30, 2022 | -34.87% |
| Mar 31, 2022 | -30.52% |
| Dec 31, 2021 | -25.67% |
| Sep 30, 2021 | -38.69% |
| Jun 30, 2021 | -51.19% |
| Mar 31, 2021 | -46.76% |
Greenlane Holdings Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=GNLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=GNLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();