Rubber Leaf (RLEA) Buildings (2023 - 2025)
Rubber Leaf (RLEA) recorded Buildings of $7.17 million in Q3 2025, up 29.9% from $5.52 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Rubber Leaf (RLEA) Buildings (2023 - 2025) Analysis & Trends
At the end of FY2024, Rubber Leaf reported Buildings of $6.99 million, up 28.2% from FY2023.
- Across earlier years, Buildings came in at $5.46 million in FY2023.
- The Q3 2025 figure is the highest quarterly Buildings in data going back to Q4 2023.
- On a year-over-year basis, Buildings has increased for four consecutive quarters, with growth averaging 30.7% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $7.12 million (Q2 2025), $7.03 million (Q1 2025) and $6.99 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn |
| 10 | Rubber Leaf | 184.99 Mn | 182.75 Mn | -62,165.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 7.17 Mn |
| Jun 30, 2025 | 7.12 Mn |
| Mar 31, 2025 | 7.03 Mn |
| Dec 31, 2024 | 6.99 Mn |
| Sep 30, 2024 | 5.52 Mn |
| Jun 30, 2024 | 5.33 Mn |
| Mar 31, 2024 | 5.36 Mn |
| Dec 31, 2023 | 5.46 Mn |
API Access
Rubber Leaf Buildings 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=buildings&ticker=RLEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "RLEA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=RLEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();