Nine Energy Service (NINE) Property, Plant & Equipment (Net) (2016 - 2026)
Nine Energy Service (NINE) reported Property, Plant & Equipment (Net) of $102.13 million for Q3 2026, up 53.8% from $66.42 million a year earlier but down 4.2% from the prior quarter.
Nine Energy Service (NINE) Property, Plant & Equipment (Net) (2016 - 2026) Analysis & Trends
At the end of FY2025, Nine Energy Service posted Property, Plant & Equipment (Net) of $64.27 million, down 8.9% from FY2024.
- Property, Plant & Equipment (Net) has declined for three consecutive years, with a five-year compound annual growth rate of -8.9% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $70.52 million in FY2024 (-14.4%), $82.37 million in FY2023 (-8.2%), $89.72 million in FY2022 (+3.2%) and $86.96 million in FY2021 (-15.1%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $64.27 million in Q4 2025 and a high of $109.01 million in Q1 2026.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last three quarters, with growth averaging 13.5% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2026 (growth of 59.0%); the low point was Q1 2025 (a decline of 15.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $106.57 million (Q2 2026), $109.01 million (Q1 2026) and $64.27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.30 Bn | 73.91 Bn | 1.57 Bn | 7.71 Bn |
| 2 | Baker Hughes | 49.10 Bn | 11.25 Bn | 1.96 Bn | 6.78 Bn |
| 3 | Halliburton | 27.94 Bn | 19.88 Bn | 840.00 Mn | 5.15 Bn |
| 4 | TechnipFMC | 25.83 Bn | 21.81 Bn | 728.70 Mn | 2.25 Bn |
| 5 | Noble | 6.97 Bn | 5.04 Bn | 228.22 Mn | 5.51 Bn |
| 6 | Nov | 6.45 Bn | 1.39 Bn | 439.00 Mn | 1.99 Bn |
| 7 | Weatherford International | 6.27 Bn | 2.04 Bn | 374.00 Mn | 1.16 Bn |
| 8 | Transocean | 6.19 Bn | 4.23 Bn | 348.00 Mn | 12.24 Bn |
| 9 | Valaris | 5.84 Bn | 3.59 Bn | 176.30 Mn | 2.26 Bn |
| 10 | Nine Energy Service | 101.42 Mn | 38.82 Mn | 20.57 Mn | 102.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 102.13 Mn |
| Jun 30, 2026 | 106.57 Mn |
| Mar 31, 2026 | 109.01 Mn |
| Dec 31, 2025 | 64.27 Mn |
| Sep 30, 2025 | 66.42 Mn |
| Jun 30, 2025 | 68.79 Mn |
| Mar 31, 2025 | 68.56 Mn |
| Dec 31, 2024 | 70.52 Mn |
| Sep 30, 2024 | 73.66 Mn |
| Jun 30, 2024 | 77.06 Mn |
| Mar 31, 2024 | 81.23 Mn |
| Dec 31, 2023 | 82.37 Mn |
| Sep 30, 2023 | 83.98 Mn |
| Jun 30, 2023 | 87.36 Mn |
| Mar 31, 2023 | 87.65 Mn |
| Dec 31, 2022 | 89.72 Mn |
| Sep 30, 2022 | 75.66 Mn |
| Jun 30, 2022 | 77.99 Mn |
| Mar 31, 2022 | 81.81 Mn |
| Dec 31, 2021 | 86.96 Mn |
Nine Energy Service Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=NINE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "NINE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=NINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();