KLX Energy Services Holdings (KLXE) Non Operating Interest Expenses (2022 - 2026)
KLX Energy Services Holdings (KLXE) reported Non Operating Interest Expenses of $12.5 million for Q2 2026, up 13.6% from $11 million a year earlier and up 6.8% from the prior quarter.
KLX Energy Services Holdings (KLXE) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, KLX Energy Services Holdings' Non Operating Interest Expenses came in at $48.1 million, up 16.5% year-over-year; for FY2025, it was $45.2 million, up 14.7% from FY2024.
- Non Operating Interest Expenses has increased for three consecutive years, with a three-year compound annual growth rate of 8.9% (FY2022 to FY2025).
- By year, Non Operating Interest Expenses came in at $39.4 million in FY2024 (+7.9%), $36.5 million in FY2023 (+4.3%) and $35 million in FY2022.
- Five-year quarterly Non Operating Interest Expenses spans a low of $8.7 million in Q2 2023 and a high of $12.8 million in Q4 2025.
- Year over year, Non Operating Interest Expenses has now increased in each of the last 12 quarters, with growth averaging 12.7% over the last eight quarters.
- The year-over-year growth in Non Operating Interest Expenses has ranged between 2.2% (Q3 2023) and 25.5% (Q4 2025) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $11.7 million (Q1 2026), $12.8 million (Q4 2025) and $11.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 128.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 10.70 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | - |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 21.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 36.20 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | -20.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | - |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | - |
| 10 | KLX Energy Services Holdings | 30.85 Mn | 3.35 Mn | 36.40 Mn | 12.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.50 Mn |
| Mar 31, 2026 | 11.70 Mn |
| Dec 31, 2025 | 12.80 Mn |
| Sep 30, 2025 | 11.10 Mn |
| Jun 30, 2025 | 11.00 Mn |
| Mar 31, 2025 | 10.30 Mn |
| Dec 31, 2024 | 10.20 Mn |
| Sep 30, 2024 | 9.80 Mn |
| Jun 30, 2024 | 9.80 Mn |
| Mar 31, 2024 | 9.60 Mn |
| Dec 31, 2023 | 9.30 Mn |
| Sep 30, 2023 | 9.20 Mn |
| Jun 30, 2023 | 8.70 Mn |
| Mar 31, 2023 | 9.30 Mn |
| Dec 31, 2022 | 9.00 Mn |
| Sep 30, 2022 | 9.00 Mn |
KLX Energy Services Holdings Non Operating Interest 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=non-operating-interest-expenses&ticker=KLXE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "KLXE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=KLXE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();