New Jersey Resources (NJR) Operating Expenses (2009 - 2026)
New Jersey Resources' Operating Expenses came in at $317.29 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.8% from $300.01 million a year earlier but down 50.3% from the prior quarter.
New Jersey Resources (NJR) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, New Jersey Resources reported Operating Expenses of $1.68 billion, up 13.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $1.53 billion, up 14.1% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $1.34 billion in FY2024 (-14.0%), $1.56 billion in FY2023 (-37.7%), $2.5 billion in FY2022 (+33.8%) and $1.87 billion in FY2021 (+8.3%).
- The five-year range for quarterly Operating Expenses is $249.65 million (fiscal Q4 2024) to $773.44 million (fiscal Q2 2022).
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 11.5% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2022 (growth of 51.4%), and the weakest in fiscal Q4 2023 (a decline of 61.0%).
- Business Quant data shows NJR's Operating Expenses at $638.37 million (Q2 2026), $425.65 million (Q1 2026) and $295.68 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | -140.00 Mn |
| 2 | National Grid | 77.93 Bn | 59.46 Bn | - | - |
| 3 | Dominion Energy | 53.37 Bn | 56.05 Bn | - | 4.15 Bn |
| 4 | Xcel Energy | 44.14 Bn | 39.04 Bn | - | 2.41 Bn |
| 5 | Wec Energy | 33.42 Bn | 33.65 Bn | 1.51 Bn | 1.63 Bn |
| 6 | Ameren | 27.75 Bn | 27.83 Bn | - | 1.63 Bn |
| 7 | Fortis | 26.92 Bn | 27.40 Bn | 1.60 Bn | 626.05 Mn |
| 8 | Atmos Energy | 26.63 Bn | 25.40 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.79 Bn | 25.20 Bn | - | 813.00 Mn |
| 10 | New Jersey Resources | 5.16 Bn | 4.99 Bn | 200.82 Mn | 317.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 317.29 Mn |
| Mar 31, 2026 | 638.37 Mn |
| Dec 31, 2025 | 425.65 Mn |
| Sep 30, 2025 | 295.68 Mn |
| Jun 30, 2025 | 300.01 Mn |
| Mar 31, 2025 | 633.08 Mn |
| Dec 31, 2024 | 298.78 Mn |
| Sep 30, 2024 | 249.65 Mn |
| Jun 30, 2024 | 269.70 Mn |
| Mar 31, 2024 | 487.69 Mn |
| Dec 31, 2023 | 331.39 Mn |
| Sep 30, 2023 | 267.03 Mn |
| Jun 30, 2023 | 259.34 Mn |
| Mar 31, 2023 | 478.84 Mn |
| Dec 31, 2022 | 550.78 Mn |
| Sep 30, 2022 | 684.58 Mn |
| Jun 30, 2022 | 522.53 Mn |
| Mar 31, 2022 | 773.44 Mn |
| Dec 31, 2021 | 518.96 Mn |
| Sep 30, 2021 | 529.41 Mn |
New Jersey Resources 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=NJR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NJR", "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=NJR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();