Franklin Electric (FELE) Non-Current Assets (2010 - 2026)
Franklin Electric's Non-Current Assets came in at $1.05 billion for Q2 2026, up 7.4% from $981.46 million a year earlier and up 7.4% from the prior quarter.
Franklin Electric (FELE) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Franklin Electric's Non-Current Assets was $985.76 million, up 15.1% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $856.42 million in FY2024 (-2.0%), $874.31 million in FY2023 (+4.6%), $836.11 million in FY2022 (-1.7%) and $850.55 million in FY2021 (+30.2%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q4 2010.
- Year-over-year, Non-Current Assets has increased for six consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2021 (growth of 36.6%), and the weakest in Q4 2024 (a decline of 2.0%).
- Business Quant data shows FELE's Non-Current Assets at $981.32 million (Q1 2026), $985.76 million (Q4 2025) and $980.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 5.92 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 32.55 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 20.81 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 9.89 Bn |
| 10 | Franklin Electric | 4.24 Bn | 3.86 Bn | 230.61 Mn | 1.05 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.05 Bn |
| Mar 31, 2026 | 981.32 Mn |
| Dec 31, 2025 | 985.76 Mn |
| Sep 30, 2025 | 980.65 Mn |
| Jun 30, 2025 | 981.46 Mn |
| Mar 31, 2025 | 972.25 Mn |
| Dec 31, 2024 | 856.42 Mn |
| Sep 30, 2024 | 864.72 Mn |
| Jun 30, 2024 | 865.60 Mn |
| Mar 31, 2024 | 871.74 Mn |
| Dec 31, 2023 | 874.31 Mn |
| Sep 30, 2023 | 825.80 Mn |
| Jun 30, 2023 | 836.71 Mn |
| Mar 31, 2023 | 835.40 Mn |
| Dec 31, 2022 | 836.11 Mn |
| Sep 30, 2022 | 827.29 Mn |
| Jun 30, 2022 | 838.36 Mn |
| Mar 31, 2022 | 849.62 Mn |
| Dec 31, 2021 | 850.55 Mn |
| Sep 30, 2021 | 817.87 Mn |
Franklin Electric Non-Current Assets 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=non-current-assets&ticker=FELE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=FELE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();