Franklin Electric (FELE) Total Non-Current Liabilities (2010 - 2026)
Franklin Electric (FELE) reported Total Non-Current Liabilities of $706.12 million for Q2 2026, down 2.9% from $726.84 million a year earlier but up 12.9% from the prior quarter.
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Analysis
Franklin Electric (FELE) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Franklin Electric posted Total Non-Current Liabilities of $589.48 million, up 11.2% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $529.88 million in FY2024 (+9.2%), $485.04 million in FY2023 (-19.0%), $598.86 million in FY2022 (-0.2%) and $599.97 million in FY2021 (+50.6%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $485.04 million in Q4 2023 and a high of $739.56 million in Q2 2022.
- Year over year, Total Non-Current Liabilities gained in six of the last eight quarters, with growth averaging 12.5%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2022 (growth of 76.0%); the low point was Q1 2024 (a decline of 23.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $625.42 million (Q1 2026), $589.48 million (Q4 2025) and $648.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Franklin Electric | 4.24 Bn | 3.86 Bn | 230.61 Mn | 706.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 706.12 Mn |
| Mar 31, 2026 | 625.42 Mn |
| Dec 31, 2025 | 589.48 Mn |
| Sep 30, 2025 | 648.42 Mn |
| Jun 30, 2025 | 726.84 Mn |
| Mar 31, 2025 | 604.43 Mn |
| Dec 31, 2024 | 529.88 Mn |
| Sep 30, 2024 | 511.28 Mn |
| Jun 30, 2024 | 537.52 Mn |
| Mar 31, 2024 | 516.53 Mn |
| Dec 31, 2023 | 485.04 Mn |
| Sep 30, 2023 | 513.86 Mn |
| Jun 30, 2023 | 621.69 Mn |
| Mar 31, 2023 | 678.51 Mn |
| Dec 31, 2022 | 598.86 Mn |
| Sep 30, 2022 | 661.74 Mn |
| Jun 30, 2022 | 739.56 Mn |
| Mar 31, 2022 | 694.14 Mn |
| Dec 31, 2021 | 599.97 Mn |
| Sep 30, 2021 | 595.01 Mn |
API Access
Franklin Electric Total Non-Current 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-non-current-liabilities&ticker=FELE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=FELE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();