Reliance (RS) Land & Improvements (2009 - 2024)
Reliance (RS) posted Land & Improvements of $294.3 million for Q3 2024, up 4.5% from $281.6 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Reliance (RS) Land & Improvements (2009 - 2024) Analysis & Trends
At the end of FY2023, Reliance's Land & Improvements came in at $281.7 million, up 7.2% from FY2022.
- Annual Land & Improvements shows a five-year compound annual growth rate of 3.8% (FY2018 to FY2023).
- In prior years, Reliance's Land & Improvements was $262.7 million in FY2022 (+1.0%), $260.1 million in FY2021 (unchanged), $260.1 million in FY2020 (+8.5%) and $239.8 million in FY2019 (+2.5%).
- The Q3 2024 figure stands as the highest quarterly Land & Improvements in data going back to Q4 2009.
- On a year-over-year basis, Land & Improvements has increased in each of the last 11 quarters, with growth averaging 5.2% over the last eight quarters.
- The strongest year-over-year quarter for Land & Improvements in the past five years was Q3 2020, with growth of 9.2%; the weakest was Q3 2021, with a decline of 0.8%.
- According to Business Quant data, Land & Improvements for the three prior quarters was $292.8 million (Q2 2024), $282.6 million (Q1 2024) and $281.7 million (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.45 Bn | 65.21 Bn | 1.73 Bn | - |
| 2 | W.W. Grainger | 62.58 Bn | 60.18 Bn | 1.98 Bn | - |
| 3 | Fastenal | 59.02 Bn | 57.94 Bn | 1.06 Bn | - |
| 4 | Ferguson Enterprises | 43.33 Bn | 40.54 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 31.82 Bn | 31.70 Bn | 1.25 Bn | - |
| 6 | Reliance | 20.64 Bn | 19.68 Bn | 1.30 Bn | - |
| 7 | Wesco International | 17.76 Bn | 15.08 Bn | 1.46 Bn | - |
| 8 | Applied Industrial Technologies | 12.45 Bn | 12.32 Bn | 411.22 Mn | 13.90 Mn |
| 9 | Watsco | 11.13 Bn | 8.82 Bn | 578.93 Mn | - |
| 10 | Avantor | 10.53 Bn | 9.33 Bn | 537.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 294.30 Mn |
| Jun 30, 2024 | 292.80 Mn |
| Mar 31, 2024 | 282.60 Mn |
| Dec 31, 2023 | 281.70 Mn |
| Sep 30, 2023 | 281.60 Mn |
| Jun 30, 2023 | 270.00 Mn |
| Mar 31, 2023 | 263.30 Mn |
| Dec 31, 2022 | 262.70 Mn |
| Sep 30, 2022 | 260.80 Mn |
| Jun 30, 2022 | 260.70 Mn |
| Mar 31, 2022 | 259.10 Mn |
| Dec 31, 2021 | 260.10 Mn |
| Sep 30, 2021 | 256.20 Mn |
| Jun 30, 2021 | 256.40 Mn |
| Mar 31, 2021 | 255.50 Mn |
| Dec 31, 2020 | 260.10 Mn |
| Sep 30, 2020 | 258.20 Mn |
| Jun 30, 2020 | 256.70 Mn |
| Mar 31, 2020 | 239.50 Mn |
| Dec 31, 2019 | 239.80 Mn |
API Access
Reliance Land & Improvements 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=land-and-improvements&ticker=RS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "RS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=RS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();