KLX Energy Services Holdings (KLXE) Total Liabilities (2018 - 2026)
KLX Energy Services Holdings (KLXE) posted Total Liabilities of $474.3 million for Q2 2026, up 13.8% from $416.7 million a year earlier and up 10.9% from the prior quarter.
KLX Energy Services Holdings (KLXE) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, KLX Energy Services Holdings' Total Liabilities came in at $414.5 million, down 11.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In prior years, KLX Energy Services Holdings' Total Liabilities was $466.8 million in FY2024 (-6.8%), $501 million in FY2023 (+4.0%), $481.7 million in FY2022 (+9.7%) and $439.1 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q3 2024.
- On a year-over-year basis, Total Liabilities increased in three of the last eight quarters, with an average decline of 4.9%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 13.8%; the weakest was Q1 2025, with a decline of 15.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $427.6 million (Q1 2026), $414.5 million (Q4 2025) and $419.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 28.28 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 32.54 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 7.09 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 14.78 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 4.94 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 2.76 Bn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 6.80 Bn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 3.31 Bn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 2.23 Bn |
| 10 | KLX Energy Services Holdings | 30.85 Mn | 3.35 Mn | 36.40 Mn | 474.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 474.30 Mn |
| Mar 31, 2026 | 427.60 Mn |
| Dec 31, 2025 | 414.50 Mn |
| Sep 30, 2025 | 419.40 Mn |
| Jun 30, 2025 | 416.70 Mn |
| Mar 31, 2025 | 405.70 Mn |
| Dec 31, 2024 | 466.80 Mn |
| Sep 30, 2024 | 484.30 Mn |
| Jun 30, 2024 | 481.40 Mn |
| Mar 31, 2024 | 480.60 Mn |
| Dec 31, 2023 | 501.00 Mn |
| Sep 30, 2023 | 476.50 Mn |
| Jun 30, 2023 | 486.80 Mn |
| Mar 31, 2023 | 488.40 Mn |
| Dec 31, 2022 | 481.70 Mn |
| Sep 30, 2022 | 496.20 Mn |
| Jun 30, 2022 | 484.90 Mn |
| Mar 31, 2022 | 446.90 Mn |
| Dec 31, 2021 | 439.10 Mn |
| Oct 31, 2021 | 394.50 Mn |
KLX Energy Services Holdings Total 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-liabilities&ticker=KLXE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=KLXE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();