Franklin Electric (FELE) Land & Improvements (2010 - 2026)
Franklin Electric (FELE) reported Land & Improvements of $189.75 million for Q2 2026, up 6.8% from $177.75 million a year earlier and up 4.3% from the prior quarter.
Powered by 
Analysis
Franklin Electric (FELE) Land & Improvements (2010 - 2026) Analysis & Trends
At the end of FY2025, Franklin Electric posted Land & Improvements of $179.68 million, up 11.0% from FY2024.
- Land & Improvements has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- By year, Land & Improvements came in at $161.86 million in FY2024 (-3.1%), $167.03 million in FY2023 (+4.9%), $159.25 million in FY2022 (+3.0%) and $154.54 million in FY2021 (+1.5%).
- The Q2 2026 figure ranks as the highest quarterly Land & Improvements in data going back to Q4 2010.
- Year over year, Land & Improvements has now increased in each of the last six quarters, with growth averaging 5.1% over the last eight quarters.
- The high point for year-over-year Land & Improvements in five years was Q3 2021 (growth of 16.1%); the low point was Q4 2024 (a decline of 3.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $181.95 million (Q1 2026), $179.68 million (Q4 2025) and $178.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | - |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | - |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 2.53 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 424.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Franklin Electric | 4.24 Bn | 3.86 Bn | 230.61 Mn | 189.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189.75 Mn |
| Mar 31, 2026 | 181.95 Mn |
| Dec 31, 2025 | 179.68 Mn |
| Sep 30, 2025 | 178.18 Mn |
| Jun 30, 2025 | 177.75 Mn |
| Mar 31, 2025 | 171.78 Mn |
| Dec 31, 2024 | 161.86 Mn |
| Sep 30, 2024 | 165.36 Mn |
| Jun 30, 2024 | 164.20 Mn |
| Mar 31, 2024 | 166.63 Mn |
| Dec 31, 2023 | 167.03 Mn |
| Sep 30, 2023 | 163.64 Mn |
| Jun 30, 2023 | 165.67 Mn |
| Mar 31, 2023 | 161.95 Mn |
| Dec 31, 2022 | 159.25 Mn |
| Sep 30, 2022 | 153.95 Mn |
| Jun 30, 2022 | 155.54 Mn |
| Mar 31, 2022 | 157.51 Mn |
| Dec 31, 2021 | 154.54 Mn |
| Sep 30, 2021 | 154.37 Mn |
API Access
Franklin Electric 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=FELE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "FELE", "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=FELE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();