Recon Technology (RCON) Price to Book (2021 - 2026)
Recon Technology's (RCON) Price to Book came in at 0.37 for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 20.1% from 0.46 a year earlier.
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Analysis
Recon Technology (RCON) Price to Book (2021 - 2026) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Recon Technology's Price to Book stood at 0.59, up 89.2% from FY2024.
- In prior fiscal years, Recon Technology's Price to Book was 0.31 in FY2024 (-79.5%), 1.51 in FY2023 (+389.5%), 0.31 in FY2022 (-77.9%) and 1.39 in FY2021.
- The fiscal Q2 2026 figure stands as the lowest quarterly Price to Book since fiscal Q4 2024.
- On a year-over-year basis, Price to Book increased in 1 of the last four quarters, with an average decline of 16.8%.
- The strongest year-over-year quarter for Price to Book in the past five years was fiscal Q4 2023, with growth of 419.9%; the weakest was fiscal Q4 2024, with a decline of 78.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 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 |
|---|---|
| Jun 30, 2026 | 0.11 |
| Dec 31, 2025 | 0.37 |
| Jun 30, 2025 | 0.61 |
| Dec 31, 2024 | 0.46 |
| Jun 30, 2024 | 0.32 |
| Dec 31, 2023 | 1.10 |
| Jun 30, 2023 | 1.47 |
| Dec 31, 2022 | 0.60 |
| Jun 30, 2022 | 0.28 |
| Dec 31, 2021 | 0.29 |
| Jun 30, 2021 | 1.24 |
API Access
Recon Technology Price to Book 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=price-to-book&ticker=RCON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=RCON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();