Recon Technology (RCON) Gains from Sales and Divestitures (2013 - 2016)
Recon Technology's Gains from Sales and Divestitures was $46.00 in FY2026 (year ended Jun 30, 2026), down 97.3% from $1,732 in FY2025.
Analysis
Recon Technology (RCON) Gains from Sales and Divestitures (2013 - 2016) Analysis & Trends
From FY2013 onward, Recon Technology has reported Gains from Sales and Divestitures for 13 fiscal years.
- The FY2026 figure marks the lowest annual Gains from Sales and Divestitures since FY2022.
- Per Business Quant data, Gains from Sales and Divestitures in earlier fiscal years was $1,732 in FY2025 (-64.4%), $4,861 in FY2024 (+175.7%), $1,763 in FY2023 and -$7,260 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn |
| 10 | Recon Technology | 139,107.50 | -52.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 5,385.00 |
| Mar 31, 2016 | 7,852.75 |
| Dec 31, 2015 | -1,660.44 |
| Jun 30, 2015 | 7,128.37 |
| Mar 31, 2015 | 3.86 |
| Jun 30, 2014 | -9,855.61 |
| Mar 31, 2014 | -11,102.64 |
| Jun 30, 2013 | 1,814.12 |
| Mar 31, 2013 | 15,290.00 |
API Access
Recon Technology Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=RCON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "RCON", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=RCON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();