Recon Technology (RCON) Change in Taxes (2010 - 2017)
Recon Technology's Change in Taxes came in at -$27,635 for FY2025 (year ended Jun 30, 2025), compared with -$23,652 in FY2024.
Analysis
Recon Technology (RCON) Change in Taxes (2010 - 2017) Analysis & Trends
Going back to FY2011, Recon Technology's Change in Taxes data covers 15 fiscal years.
- The five-year range for annual Change in Taxes is -$142,938 (FY2023) to $143,626 (FY2022).
- Per Business Quant, earlier fiscal years put Change in Taxes at -$23,652 in FY2024, -$142,938 in FY2023, $143,626 in FY2022 and $11,839 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | -137.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 64.30 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | - |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 7.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 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 | Recon Technology | 143,558.94 | -52.57 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 32,962.00 |
| Jun 30, 2017 | 1,591.07 |
| Sep 30, 2016 | -12,035.00 |
| Jun 30, 2016 | 175,979.32 |
| Mar 31, 2016 | -96,217.65 |
| Dec 31, 2015 | -193,755.15 |
| Sep 30, 2015 | 237,249.00 |
| Jun 30, 2015 | -102,254.87 |
| Mar 31, 2015 | -235,971.21 |
| Dec 31, 2014 | 250,808.79 |
| Sep 30, 2014 | -123,471.00 |
| Jun 30, 2014 | -51,417.46 |
| Mar 31, 2014 | -351,159.34 |
| Dec 31, 2013 | 508,706.66 |
| Sep 30, 2013 | 1,857.00 |
| Jun 30, 2013 | 9,888.69 |
| Mar 31, 2013 | -488,754.94 |
| Dec 31, 2012 | 210,361.60 |
| Sep 30, 2012 | -198,928.00 |
| Jun 30, 2012 | 245,706.22 |
API Access
Recon Technology Change in Taxes 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=change-in-taxes&ticker=RCON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=RCON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();