Franklin Electric (FELE) Operating Expenses (2009 - 2026)
Franklin Electric (FELE) posted Operating Expenses of $132.49 million for Q2 2026, up 7.1% from $123.69 million a year earlier and up 4.4% from the prior quarter.
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Analysis
Franklin Electric (FELE) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Franklin Electric was $502.84 million, up 4.6% year-over-year; for FY2025, it came in at $486.95 million, up 2.8% from FY2024.
- Annual Operating Expenses has increased for ten consecutive years, with a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- In prior years, Franklin Electric's Operating Expenses was $473.64 million in FY2024 (+9.0%), $434.57 million in FY2023 (+0.1%), $434.25 million in FY2022 (+12.2%) and $386.9 million in FY2021 (+27.8%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q4 2010.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 5.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 40.3%; the weakest was Q3 2023, with a decline of 2.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $126.88 million (Q1 2026), $119.87 million (Q4 2025) and $123.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 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 | 132.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132.49 Mn |
| Mar 31, 2026 | 126.88 Mn |
| Dec 31, 2025 | 119.87 Mn |
| Sep 30, 2025 | 123.59 Mn |
| Jun 30, 2025 | 123.69 Mn |
| Mar 31, 2025 | 119.80 Mn |
| Dec 31, 2024 | 121.21 Mn |
| Sep 30, 2024 | 116.14 Mn |
| Jun 30, 2024 | 120.65 Mn |
| Mar 31, 2024 | 115.64 Mn |
| Dec 31, 2023 | 109.18 Mn |
| Sep 30, 2023 | 108.15 Mn |
| Jun 30, 2023 | 107.58 Mn |
| Mar 31, 2023 | 109.66 Mn |
| Dec 31, 2022 | 110.00 Mn |
| Sep 30, 2022 | 110.55 Mn |
| Jun 30, 2022 | 108.31 Mn |
| Mar 31, 2022 | 105.39 Mn |
| Dec 31, 2021 | 97.98 Mn |
| Sep 30, 2021 | 106.52 Mn |
API Access
Franklin Electric Operating Expenses 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=operating-expenses&ticker=FELE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FELE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();