NXT Energy Solutions (NSFDF) Depreciation and Depletion (2022 - 2026)
NXT Energy Solutions (NSFDF) reported Depreciation and Depletion of $443.88 for Q2 2026, unchanged from $443.85 a year earlier and down 1.0% from the prior quarter.
NXT Energy Solutions (NSFDF) Depreciation and Depletion (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, NXT Energy Solutions' Depreciation and Depletion came in at $1,782, up 0.7% year-over-year; for FY2022, it came in at $1,143.
- Five-year quarterly Depreciation and Depletion spans a low of $381.68 in Q1 2023 and a high of $456.40 in Q1 2024.
- Year over year, Depreciation and Depletion gained in two of the last six quarters, with growth averaging 2.2%.
- The high point for year-over-year Depreciation and Depletion in five years was Q1 2024 (growth of 19.6%); the low point was Q1 2023 (a decline of 6.5%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 473.00 Mn |
| 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 | 44.60 Mn |
| 10 | NXT Energy Solutions | 1.65 Mn | -4.56 Mn | - | 443.88 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 443.88 |
| Mar 31, 2026 | 448.46 |
| Sep 30, 2025 | 446.15 |
| Jun 30, 2025 | 443.85 |
| Mar 31, 2025 | 427.21 |
| Sep 30, 2024 | 450.83 |
| Jun 30, 2024 | 448.92 |
| Mar 31, 2024 | 456.40 |
| Sep 30, 2023 | 385.65 |
| Jun 30, 2023 | 385.63 |
| Mar 31, 2023 | 381.68 |
| Sep 30, 2022 | 397.17 |
| Jun 30, 2022 | 405.50 |
| Mar 31, 2022 | 408.16 |
NXT Energy Solutions Depreciation and Depletion 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=depreciation-and-depletion&ticker=NSFDF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=NSFDF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();