Franklin Electric (FELE) Total Liabilities (2010 - 2026)
Franklin Electric (FELE) reported Total Liabilities of $741.11 million for Q2 2026, down 1.6% from $752.84 million a year earlier but up 13.3% from the prior quarter.
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Analysis
Franklin Electric (FELE) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Franklin Electric posted Total Liabilities of $619.02 million, up 12.1% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $552 million in FY2024 (+6.4%), $518.95 million in FY2023 (-16.8%), $624.07 million in FY2022 (-0.4%) and $626.54 million in FY2021 (+48.3%).
- Five-year quarterly Total Liabilities spans a low of $518.95 million in Q4 2023 and a high of $762.97 million in Q2 2022.
- Year over year, Total Liabilities gained in six of the last eight quarters, with growth averaging 11.8%.
- The high point for year-over-year Total Liabilities in five years was Q1 2022 (growth of 72.0%); the low point was Q1 2024 (a decline of 22.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $653.93 million (Q1 2026), $619.02 million (Q4 2025) and $676 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Franklin Electric | 4.24 Bn | 3.86 Bn | 230.61 Mn | 741.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 741.11 Mn |
| Mar 31, 2026 | 653.93 Mn |
| Dec 31, 2025 | 619.02 Mn |
| Sep 30, 2025 | 676.00 Mn |
| Jun 30, 2025 | 752.84 Mn |
| Mar 31, 2025 | 628.98 Mn |
| Dec 31, 2024 | 552.00 Mn |
| Sep 30, 2024 | 534.49 Mn |
| Jun 30, 2024 | 559.40 Mn |
| Mar 31, 2024 | 550.12 Mn |
| Dec 31, 2023 | 518.95 Mn |
| Sep 30, 2023 | 542.69 Mn |
| Jun 30, 2023 | 653.60 Mn |
| Mar 31, 2023 | 708.48 Mn |
| Dec 31, 2022 | 624.07 Mn |
| Sep 30, 2022 | 687.29 Mn |
| Jun 30, 2022 | 762.97 Mn |
| Mar 31, 2022 | 719.14 Mn |
| Dec 31, 2021 | 626.54 Mn |
| Sep 30, 2021 | 620.28 Mn |
API Access
Franklin Electric Total Liabilities 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=total-liabilities&ticker=FELE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FELE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();