NXT Energy Solutions (NSFDF) Amortizatization of Intangibles (2014 - 2026)
NXT Energy Solutions (NSFDF) posted Amortizatization of Intangibles of $343,778 for Q2 2026, down 0.6% from $345,879 a year earlier and down 0.9% from the prior quarter.
NXT Energy Solutions (NSFDF) Amortizatization of Intangibles (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at NXT Energy Solutions was $1.39 million, up 0.7% year-over-year; for FY2025, it was $1.37 million, down 0.3% from FY2024.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In prior years, NXT Energy Solutions' Amortizatization of Intangibles was $1.38 million in FY2024 (-100.0%), $1.3 trillion in FY2023, $1.3 million in FY2022 (-8.1%) and $1.42 million in FY2021 (+3.8%).
- The Q2 2026 figure stands as the lowest quarterly Amortizatization of Intangibles since Q1 2025.
- On a year-over-year basis, Amortizatization of Intangibles increased in four of the last eight quarters, with an average decline of 11.2%.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q3 2024, with growth of 7.7%; the weakest was Q4 2024, with a decline of 100.0%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $346,764 (Q1 2026), $345,659 (Q4 2025) and $350,641 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.34 Bn | 69.45 Bn | 1.40 Bn | - |
| 2 | Baker Hughes | 55.59 Bn | 18.87 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 27.02 Bn | 23.17 Bn | 684.70 Mn | - |
| 4 | Halliburton | 26.54 Bn | 18.29 Bn | 804.00 Mn | - |
| 5 | Nov | 6.72 Bn | 1.51 Bn | 521.00 Mn | - |
| 6 | Noble | 6.50 Bn | 4.43 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.76 Bn | 3.47 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.72 Bn | 1.66 Bn | 333.00 Mn | - |
| 9 | Kodiak Gas Services | 5.48 Bn | 5.25 Bn | 246.76 Mn | - |
| 10 | NXT Energy Solutions | 1.97 Mn | -4.25 Mn | - | 343,778.44 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 343,778.44 |
| Mar 31, 2026 | 346,763.56 |
| Dec 31, 2025 | 345,659.25 |
| Sep 30, 2025 | 350,641.35 |
| Jun 30, 2025 | 345,879.27 |
| Mar 31, 2025 | 332,357.38 |
| Dec 31, 2024 | 345,152.39 |
| Sep 30, 2024 | 353,446.83 |
| Jun 30, 2024 | 352,507.72 |
| Mar 31, 2024 | 326,948.36 |
| Dec 31, 2023 | 1,292.39 Bn |
| Sep 30, 2023 | 328,110.94 |
| Jun 30, 2023 | 327,460.82 |
| Mar 31, 2023 | 325,368.76 |
| Dec 31, 2022 | 325,694.16 |
| Sep 30, 2022 | 338,975.45 |
| Jun 30, 2022 | 346,753.08 |
| Mar 31, 2022 | 349,294.71 |
| Dec 31, 2021 | 353,148.80 |
| Sep 30, 2021 | 353,786.21 |
NXT Energy Solutions Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=NSFDF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=NSFDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();