Fortis (FTS) Depreciation and Depletion (2015 - 2026)
Fortis (FTS) reported Depreciation and Depletion of $1.01 billion for Q3 2026, up 1.7% from $989.68 million a year earlier and up 197.5% from the prior quarter.
Fortis (FTS) Depreciation and Depletion (2015 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Fortis' Depreciation and Depletion came in at $1.35 billion, down 0.6% year-over-year; for FY2025, it was $1.3 billion, up 4.6% from FY2024.
- Depreciation and Depletion has increased for ten consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $1.24 billion in FY2024 (+8.3%), $1.14 billion in FY2023 (+1.8%), $1.12 billion in FY2022 (+7.2%) and $1.05 billion in FY2021 (+9.5%).
- The Q3 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q2 2015.
- Year over year, Depreciation and Depletion has now increased in each of the last three quarters, with growth averaging 4.9% over the last six quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q1 2022 (growth of 9.8%); the low point was Q2 2023 (a decline of 1.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $338.33 million (Q2 2026), $336.16 million (Q1 2026) and -$332.01 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 181.60 Bn | 168.35 Bn | - | - |
| 2 | Southern | 104.77 Bn | 95.83 Bn | 5.92 Bn | - |
| 3 | Duke Energy | 99.63 Bn | 95.89 Bn | 5.66 Bn | - |
| 4 | National Grid | 82.14 Bn | 54.44 Bn | - | - |
| 5 | American Electric Power | 68.86 Bn | 66.65 Bn | 4.75 Bn | -1.00 Mn |
| 6 | Dominion Energy | 60.31 Bn | 58.30 Bn | - | 3.00 Mn |
| 7 | Entergy | 51.91 Bn | 38.35 Bn | - | - |
| 8 | Sempra | 51.13 Bn | 50.25 Bn | 2.89 Bn | - |
| 9 | Xcel Energy | 50.13 Bn | 43.61 Bn | - | - |
| 10 | Fortis | 30.26 Bn | 28.13 Bn | 1.64 Bn | 1.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.01 Bn |
| Jun 30, 2026 | 338.33 Mn |
| Mar 31, 2026 | 336.16 Mn |
| Dec 31, 2025 | -332.01 Mn |
| Sep 30, 2025 | 989.68 Mn |
| Jun 30, 2025 | 327.66 Mn |
| Mar 31, 2025 | 318.49 Mn |
| Dec 31, 2024 | -278.47 Mn |
| Sep 30, 2024 | 919.25 Mn |
| Jun 30, 2024 | 307.81 Mn |
| Mar 31, 2024 | 303.52 Mn |
| Dec 31, 2023 | -265.90 Mn |
| Sep 30, 2023 | 854.09 Mn |
| Jun 30, 2023 | 283.64 Mn |
| Mar 31, 2023 | 279.61 Mn |
| Dec 31, 2022 | -260.06 Mn |
| Sep 30, 2022 | 836.52 Mn |
| Jun 30, 2022 | 287.07 Mn |
| Mar 31, 2022 | 281.05 Mn |
| Dec 31, 2021 | -246.73 Mn |
Fortis 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=FTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "FTS", "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=FTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();