NXT Energy Solutions (NSFDF) Price to Book (2009 - 2026)
NXT Energy Solutions' Price to Book was 0.35 in Q2 2026, down 93.2% from 5.24 a year earlier but up 24.0% from the prior quarter.
Powered by 
Analysis
NXT Energy Solutions (NSFDF) Price to Book (2009 - 2026) Analysis & Trends
For FY2025, Price to Book at NXT Energy Solutions came in at 3.66.
- In earlier years, Price to Book was 1.36 in FY2023 and 2.21 in FY2021 (-8.8%).
- Quarterly Price to Book has moved between 0.00 (Q1 2024) and 5.24 (Q2 2025) over five years.
- The best year-over-year quarter for Price to Book over five years was Q2 2022 (growth of 59.2%); the worst was Q1 2023 (a decline of 100.0%).
- Per Business Quant data, NSFDF's Price to Book in the three quarters before Q2 2026 was 0.29 (Q1 2026), 3.65 (Q4 2025) and 3.96 (Q3 2025).
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 | NXT Energy Solutions | 1.65 Mn | -4.56 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.35 |
| Mar 31, 2026 | 0.29 |
| Dec 31, 2025 | 3.65 |
| Sep 30, 2025 | 3.96 |
| Jun 30, 2025 | 5.24 |
| Mar 31, 2025 | 1.98 |
| Sep 30, 2024 | 0.00 |
| Jun 30, 2024 | 0.00 |
| Mar 31, 2024 | 0.00 |
| Dec 31, 2023 | 1.37 |
| Sep 30, 2023 | 0.00 |
| Jun 30, 2023 | 0.00 |
| Mar 31, 2023 | 0.00 |
| Dec 31, 2022 | 1.39 |
| Sep 30, 2022 | 2.54 |
| Jun 30, 2022 | 4.61 |
| Mar 31, 2022 | 3.79 |
| Dec 31, 2021 | 2.22 |
| Sep 30, 2021 | 4.23 |
| Jun 30, 2021 | 2.89 |
API Access
NXT Energy Solutions 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=NSFDF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "NSFDF", "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=NSFDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();