Ppl (PPL) Operating Expenses (2009 - 2026)
Ppl (PPL) reported Operating Expenses of $1.64 billion for Q2 2026, up 1.1% from $1.62 billion a year earlier but down 19.4% from the prior quarter.
Ppl (PPL) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ppl's Operating Expenses came in at $7.13 billion, up 3.1% year-over-year; for FY2025, it was $6.91 billion, up 2.8% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $6.72 billion in FY2024 (+0.6%), $6.68 billion in FY2023 (+2.4%), $6.53 billion in FY2022 (+49.8%) and $4.36 billion in FY2021 (+12.1%).
- Five-year quarterly Operating Expenses spans a low of $1.08 billion in Q3 2021 and a high of $2.03 billion in Q1 2026.
- Year over year, Operating Expenses gained in seven of the last eight quarters, with growth averaging 4.8%.
- The high point for year-over-year Operating Expenses in five years was Q4 2022 (growth of 66.0%); the low point was Q4 2023 (a decline of 16.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.03 billion (Q1 2026), $1.8 billion (Q4 2025) and $1.67 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - | 5.29 Bn |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn | 5.20 Bn |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn | 6.84 Bn |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - | - |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn | 4.20 Bn |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - | 4.15 Bn |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn | 1.35 Bn |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - | 2.67 Bn |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - | 2.41 Bn |
| 10 | Ppl | 26.04 Bn | 22.30 Bn | - | 1.64 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.64 Bn |
| Mar 31, 2026 | 2.03 Bn |
| Dec 31, 2025 | 1.80 Bn |
| Sep 30, 2025 | 1.67 Bn |
| Jun 30, 2025 | 1.62 Bn |
| Mar 31, 2025 | 1.83 Bn |
| Dec 31, 2024 | 1.83 Bn |
| Sep 30, 2024 | 1.64 Bn |
| Jun 30, 2024 | 1.49 Bn |
| Mar 31, 2024 | 1.76 Bn |
| Dec 31, 2023 | 1.64 Bn |
| Sep 30, 2023 | 1.61 Bn |
| Jun 30, 2023 | 1.52 Bn |
| Mar 31, 2023 | 1.92 Bn |
| Dec 31, 2022 | 1.95 Bn |
| Sep 30, 2022 | 1.79 Bn |
| Jun 30, 2022 | 1.45 Bn |
| Mar 31, 2022 | 1.33 Bn |
| Dec 31, 2021 | 1.18 Bn |
| Sep 30, 2021 | 1.08 Bn |
Ppl 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=PPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();