Franklin Electric (FELE) Tax Provisions (2009 - 2026)
Franklin Electric's Tax Provisions was $22.82 million in Q2 2026, up 13.8% from $20.06 million a year earlier and up 106.0% from the prior quarter.
Franklin Electric (FELE) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Franklin Electric's Tax Provisions was $49.36 million through Jun 30, 2026, down 8.5% year-over-year; for FY2025, it was $46 million, down 8.4% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $50.24 million in FY2024 (+5.8%), $47.5 million in FY2023 (+2.3%), $46.42 million in FY2022 (+33.6%) and $34.73 million in FY2021 (+54.1%).
- The Q2 2026 figure marks the highest quarterly Tax Provisions in data going back to Q4 2010.
- Compared with a year earlier, Tax Provisions has increased for three straight quarters, with growth averaging 2.3% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q4 2021 (growth of 105.0%); the worst was Q3 2025 (a decline of 62.7%).
- Per Business Quant data, FELE's Tax Provisions in the three quarters before Q2 2026 was $11.08 million (Q1 2026), $9.13 million (Q4 2025) and $6.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 1.06 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 604.30 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 529.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 321.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 248.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 122.20 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 198.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 183.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 265.00 Mn |
| 10 | Franklin Electric | 4.24 Bn | 3.86 Bn | 230.61 Mn | 22.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.82 Mn |
| Mar 31, 2026 | 11.08 Mn |
| Dec 31, 2025 | 9.13 Mn |
| Sep 30, 2025 | 6.33 Mn |
| Jun 30, 2025 | 20.06 Mn |
| Mar 31, 2025 | 10.48 Mn |
| Dec 31, 2024 | 6.44 Mn |
| Sep 30, 2024 | 16.98 Mn |
| Jun 30, 2024 | 17.59 Mn |
| Mar 31, 2024 | 9.22 Mn |
| Dec 31, 2023 | 8.33 Mn |
| Sep 30, 2023 | 14.75 Mn |
| Jun 30, 2023 | 14.17 Mn |
| Mar 31, 2023 | 10.25 Mn |
| Dec 31, 2022 | 8.87 Mn |
| Sep 30, 2022 | 13.38 Mn |
| Jun 30, 2022 | 16.80 Mn |
| Mar 31, 2022 | 7.37 Mn |
| Dec 31, 2021 | 10.69 Mn |
| Sep 30, 2021 | 10.41 Mn |
Franklin Electric Tax Provisions 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=tax-provisions&ticker=FELE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=FELE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();