Nine Energy Service (NINE) Shares Outstanding (2016 - 2026)
Nine Energy Service's Weighted Average Shares Outstanding was 13.95 million in Q3 2026, down 66.2% from 41.3 million a year earlier and unchanged from the prior quarter.
Nine Energy Service (NINE) Shares Outstanding (2016 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Nine Energy Service came in at 40.92 million, up 10.1% from FY2024.
- Weighted Average Shares Outstanding has now increased for ten consecutive years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 37.17 million in FY2024 (+11.7%), 33.28 million in FY2023 (+7.6%), 30.93 million in FY2022 (+2.1%) and 30.3 million in FY2021 (+1.9%).
- Quarterly Weighted Average Shares Outstanding has moved between 13.95 million (Q1 2026) and 41.3 million (Q3 2025) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding has declined for three straight quarters, with an average decline of 17.0% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q1 2025 (growth of 18.7%); the worst was Q3 2026 (a decline of 66.2%).
- Per Business Quant data, NINE's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 13.95 million (Q2 2026), 13.95 million (Q1 2026) and 40.92 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.30 Bn | 73.91 Bn | 1.57 Bn | 1.48 Bn |
| 2 | Baker Hughes | 49.10 Bn | 11.25 Bn | 1.96 Bn | 993.00 Mn |
| 3 | Halliburton | 27.94 Bn | 19.88 Bn | 840.00 Mn | 831.00 Mn |
| 4 | TechnipFMC | 25.83 Bn | 21.81 Bn | 728.70 Mn | 391.60 Mn |
| 5 | Noble | 6.97 Bn | 5.04 Bn | 228.22 Mn | 159.65 Mn |
| 6 | Nov | 6.45 Bn | 1.39 Bn | 439.00 Mn | 357.00 Mn |
| 7 | Weatherford International | 6.27 Bn | 2.04 Bn | 374.00 Mn | 71.90 Mn |
| 8 | Transocean | 6.19 Bn | 4.23 Bn | 348.00 Mn | 1.12 Bn |
| 9 | Valaris | 5.84 Bn | 3.59 Bn | 176.30 Mn | 69.40 Mn |
| 10 | Nine Energy Service | 101.42 Mn | 38.82 Mn | 20.57 Mn | 13.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.95 Mn |
| Jun 30, 2026 | 13.95 Mn |
| Mar 31, 2026 | 13.95 Mn |
| Dec 31, 2025 | 40.92 Mn |
| Sep 30, 2025 | 41.30 Mn |
| Jun 30, 2025 | 40.89 Mn |
| Mar 31, 2025 | 40.16 Mn |
| Dec 31, 2024 | 37.17 Mn |
| Sep 30, 2024 | 39.21 Mn |
| Jun 30, 2024 | 35.48 Mn |
| Mar 31, 2024 | 33.85 Mn |
| Dec 31, 2023 | 33.28 Mn |
| Sep 30, 2023 | 33.66 Mn |
| Jun 30, 2023 | 33.29 Mn |
| Mar 31, 2023 | 32.30 Mn |
| Dec 31, 2022 | 30.93 Mn |
| Sep 30, 2022 | 31.10 Mn |
| Jun 30, 2022 | 30.83 Mn |
| Mar 31, 2022 | 30.49 Mn |
| Dec 31, 2021 | 30.30 Mn |
Nine Energy Service Shares Outstanding 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=shares-outstanding&ticker=NINE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=NINE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();