Arrow Electronics (ARW) Land & Improvements (2010 - 2026)
Arrow Electronics' (ARW) quarterly Land & Improvements came in at $5.7 million in Q3 2026, little changed year-over-year from $5.7 million in Q3 2025, and little changed quarter-over-quarter from $5.7 million in Q2 2026.
Arrow Electronics (ARW) Land & Improvements (2010 - 2026) Analysis & Trends
Arrow Electronics has disclosed Land & Improvements across 7 years of filings, most recently posting $5.7 million for Q3 2026.
- In Q3 2026, Land & Improvements changed 0.0% year-over-year to $5.7 million; the TTM figure through Jul 2026 stood at $5.7 million (changed 0.0% YoY), while the FY2025 annual figure was $5.7 million, changed 0.0% from the prior year.
- Land & Improvements came in at $5.7 million for Q3 2026 at Arrow Electronics, roughly flat from $5.7 million in the prior quarter.
- In the past five years, Land & Improvements ranged from a high of $5.7 million in Q4 2022 to a low of $5.7 million in Q4 2022.
- Average Land & Improvements over 5 years is $5.7 million, with a median of $5.7 million recorded in 2022.
- The largest YoY upside for Land & Improvements was 0.0% in 2023 against a maximum downside of 0.0% in 2023.
- Over 5 years, Land & Improvements stood at $5.7 million in 2022, then changed by 0.0% to $5.7 million in 2023, then changed by 0.0% to $5.7 million in 2024, then changed by 0.0% to $5.7 million in 2025, then changed by 0.0% to $5.7 million in 2026.
- Per Business Quant data, the three most recent Land & Improvements figures were $5.7 million in Q3 2026, $5.7 million in Q2 2026, and $5.7 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Investview | 47.95 Bn | 47.95 Bn | -199,485.00 | - |
| 2 | Infosys | 43.60 Bn | 43.65 Bn | 1.60 Bn | - |
| 3 | Cognizant Technology Solutions | 26.73 Bn | 25.68 Bn | 1.83 Bn | - |
| 4 | Td Synnex | 23.02 Bn | 21.93 Bn | 1.34 Bn | - |
| 5 | Cdw | 18.31 Bn | 17.95 Bn | 1.32 Bn | - |
| 6 | Cgi | 13.55 Bn | 12.97 Bn | - | - |
| 7 | Arrow Electronics | 11.54 Bn | 11.37 Bn | 1.13 Bn | 5.69 Mn |
| 8 | Avnet | 8.30 Bn | 8.15 Bn | 865.03 Mn | 30.93 Mn |
| 9 | Ingram Micro Holding | 6.43 Bn | 5.62 Bn | 958.68 Mn | - |
| 10 | EPAM Systems | 5.68 Bn | 4.89 Bn | 429.57 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 5.69 Mn |
| Apr 4, 2026 | 5.69 Mn |
| Dec 31, 2025 | 5.69 Mn |
| Sep 27, 2025 | 5.69 Mn |
| Jun 28, 2025 | 5.69 Mn |
| Mar 29, 2025 | 5.69 Mn |
| Dec 31, 2024 | 5.69 Mn |
| Sep 28, 2024 | 5.69 Mn |
| Jun 29, 2024 | 5.69 Mn |
| Mar 30, 2024 | 5.69 Mn |
| Dec 31, 2023 | 5.69 Mn |
| Sep 30, 2023 | 5.69 Mn |
| Dec 31, 2022 | 5.69 Mn |
| Apr 2, 2011 | 24.34 Mn |
| Dec 31, 2010 | 24.21 Mn |
Arrow Electronics 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=ARW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "ARW", "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=ARW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();