Ppl (PPL) Total Non-Current Liabilities (2009 - 2026)
Ppl (PPL) recorded Total Non-Current Liabilities of $30.69 billion in Q2 2026, up 11.0% from $27.65 billion a year earlier but down 0.1% from the prior quarter.
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Analysis
Ppl (PPL) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Ppl reported Total Non-Current Liabilities of $7.83 billion, up 1.6% from FY2024.
- Annual Total Non-Current Liabilities has increased for five straight years, with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $7.71 billion in FY2024 (+4.8%), $7.35 billion in FY2023 (+1.5%), $7.24 billion in FY2022 (+11.2%) and $6.51 billion in FY2021 (+7.2%).
- Quarterly Total Non-Current Liabilities has ranged from $6.51 billion in Q4 2021 to $30.73 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 20 consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 1.5% (Q4 2023) and 245.9% (Q2 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at $30.73 billion (Q1 2026), $7.83 billion (Q4 2025) and $29.06 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - | 135.67 Bn |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn | 68.94 Bn |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn | 132.53 Bn |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - | 77.92 Bn |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn | 74.06 Bn |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - | 58.73 Bn |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn | 71.47 Bn |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - | 51.46 Bn |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - | 44.62 Bn |
| 10 | Ppl | 26.04 Bn | 22.30 Bn | - | 30.69 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.69 Bn |
| Mar 31, 2026 | 30.73 Bn |
| Dec 31, 2025 | 7.83 Bn |
| Sep 30, 2025 | 29.06 Bn |
| Jun 30, 2025 | 27.65 Bn |
| Mar 31, 2025 | 27.06 Bn |
| Dec 31, 2024 | 7.71 Bn |
| Sep 30, 2024 | 25.95 Bn |
| Jun 30, 2024 | 25.37 Bn |
| Mar 31, 2024 | 25.17 Bn |
| Dec 31, 2023 | 7.35 Bn |
| Sep 30, 2023 | 24.25 Bn |
| Jun 30, 2023 | 23.98 Bn |
| Mar 31, 2023 | 23.90 Bn |
| Dec 31, 2022 | 7.24 Bn |
| Sep 30, 2022 | 23.12 Bn |
| Jun 30, 2022 | 22.62 Bn |
| Mar 31, 2022 | 19.79 Bn |
| Dec 31, 2021 | 6.51 Bn |
| Sep 30, 2021 | 19.04 Bn |
API Access
Ppl 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=PPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PPL", "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=PPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();