NXT Energy Solutions (NSFDF) Accumulated Expenses (2009 - 2025)
NXT Energy Solutions (NSFDF) reported Accumulated Expenses of $626,403 for Q4 2025, down 16.2% from $747,057 a year earlier.
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Analysis
NXT Energy Solutions (NSFDF) Accumulated Expenses (2009 - 2025) Analysis & Trends
At the end of FY2025, NXT Energy Solutions posted Accumulated Expenses of $625,211, down 18.0% from FY2024.
- Accumulated Expenses has a four-year compound annual growth rate of 18.5% (FY2021 to FY2025).
- By year, Accumulated Expenses came in at $762,242 in FY2024 (+1.1%), $753,853 in FY2023 and $317,011 in FY2021.
- The Q4 2025 figure ranks as the lowest quarterly Accumulated Expenses since Q4 2021.
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 |
|---|---|
| Dec 31, 2025 | 626,402.83 |
| Dec 31, 2024 | 747,057.30 |
| Dec 31, 2023 | 747,108.57 |
| Dec 31, 2022 | 851,831.93 |
| Dec 31, 2021 | 315,175.77 |
| Dec 31, 2020 | 288,364.23 |
| Dec 31, 2019 | 316,758.54 |
| Dec 31, 2018 | 285,243.09 |
| Dec 31, 2017 | 1.23 Mn |
| Dec 31, 2016 | 431,797.22 |
| Dec 31, 2015 | 608,889.99 |
| Dec 31, 2014 | 426,407.01 |
| Dec 31, 2013 | 685,001.46 |
| Dec 31, 2012 | 1.03 Mn |
| Mar 31, 2011 | 79,149.00 |
| Dec 31, 2010 | 131,416.32 |
| Sep 30, 2010 | 190,471.46 |
| Jun 30, 2010 | 230,874.00 |
| Mar 31, 2010 | 22,434.00 |
| Dec 31, 2009 | 280,102.42 |
API Access
NXT Energy Solutions Accumulated Expenses 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=accumulated-expenses&ticker=NSFDF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=NSFDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();