Recon Technology (RCON) Exchange Rate Effect (2010 - 2017)
Recon Technology (RCON) recorded Exchange Rate Effect of -$1.2 million in FY2025 (year ended Jun 30, 2025), compared with $236,978 in FY2024.
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Analysis
Recon Technology (RCON) Exchange Rate Effect (2010 - 2017) Analysis & Trends
Starting with FY2011, Recon Technology's Exchange Rate Effect history includes 15 fiscal years.
- The FY2025 figure is the lowest annual Exchange Rate Effect in data going back to FY2011.
- Per Business Quant data, RCON's Exchange Rate Effect was $236,978 in FY2024 (-93.8%), $3.82 million in FY2023 (+148.9%), $1.53 million in FY2022 and $34,742 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | -8.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 18.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | -1.20 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | -14.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 3.00 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 | 3.00 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 | 8,346.00 |
| Jun 30, 2017 | 11,354.52 |
| Sep 30, 2016 | 943.00 |
| Jun 30, 2016 | 382.85 |
| Mar 31, 2016 | -9,939.89 |
| Dec 31, 2015 | 2,197.88 |
| Sep 30, 2015 | 17,514.00 |
| Jun 30, 2015 | -1,604.46 |
| Mar 31, 2015 | -10,718.95 |
| Dec 31, 2014 | 2,542.25 |
| Sep 30, 2014 | -77.00 |
| Jun 30, 2014 | -8.84 |
| Mar 31, 2014 | -7,891.94 |
| Dec 31, 2013 | 16,729.80 |
| Sep 30, 2013 | 2,439.00 |
| Jun 30, 2013 | -48,197.88 |
| Mar 31, 2013 | 1,733.43 |
| Dec 31, 2012 | 43,542.29 |
| Sep 30, 2012 | 1,677.00 |
| Jun 30, 2012 | 19,820.67 |
API Access
Recon Technology Exchange Rate Effect 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=exchange-rate-effect&ticker=RCON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=RCON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();