Fortis (FTS) Cash & Equivalents (2015 - 2026)
Fortis' Cash & Equivalents was $277.6 million in the quarter ended Jun 30, 2026, up 74.0% from $159.5 million a year earlier and up 6.0% from the prior quarter.
Fortis (FTS) Cash & Equivalents (2015 - 2026) Analysis & Trends
As of Dec 31, 2025, Cash & Equivalents at Fortis came in at $262.67 million, up 66.8% from the prior year.
- Cash & Equivalents shows a five-year compound annual growth rate of 6.6% (years ended Dec 2020 to Dec 2025).
- In earlier years, Cash & Equivalents was $157.49 million in the year ended Dec 31, 2024 (-66.0%), $463.23 million in the year ended Dec 31, 2023 (+188.2%), $160.76 million in the year ended Dec 31, 2022 (+54.7%) and $103.93 million in the year ended Dec 31, 2021 (-45.6%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Cash & Equivalents since the quarter ended Mar 31, 2025.
- Compared with a year earlier, Cash & Equivalents was higher in two of the last seven quarters, with an average decline of 8.7%.
- The best year-over-year quarter for Cash & Equivalents over five years was the quarter ended Dec 31, 2023 (growth of 198.2%); the worst was the quarter ended Sep 30, 2023 (a decline of 97.0%).
- Per Business Quant data, FTS's Cash & Equivalents in the three quarters before the quarter ended Jun 30, 2026 was $261.78 million (quarter ended Mar 31, 2026), $263.17 million (quarter ended Dec 31, 2025) and $174 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 172.18 Bn | 170.30 Bn | - | 5.58 Bn |
| 2 | Southern | 106.86 Bn | 97.91 Bn | 5.92 Bn | 2.98 Bn |
| 3 | Duke Energy | 97.23 Bn | 95.83 Bn | 6.74 Bn | 2.14 Bn |
| 4 | National Grid | 85.13 Bn | 57.46 Bn | - | 493.98 Mn |
| 5 | American Electric Power | 70.60 Bn | 68.98 Bn | 3.84 Bn | 375.00 Mn |
| 6 | Dominion Energy | 57.38 Bn | 60.06 Bn | - | 296.00 Mn |
| 7 | Sempra | 54.97 Bn | 54.10 Bn | 2.89 Bn | 48.00 Mn |
| 8 | Entergy | 50.09 Bn | 39.27 Bn | - | 3.85 Bn |
| 9 | Xcel Energy | 48.73 Bn | 43.64 Bn | - | 2.01 Bn |
| 10 | Fortis | 29.40 Bn | 29.85 Bn | 1.60 Bn | 270.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 270.25 Mn |
| Mar 31, 2026 | 257.75 Mn |
| Dec 31, 2025 | 267.99 Mn |
| Sep 30, 2025 | 279.53 Mn |
| Jun 30, 2025 | 161.53 Mn |
| Mar 31, 2025 | 356.42 Mn |
| Dec 31, 2024 | 153.31 Mn |
| Sep 30, 2024 | 663.27 Mn |
| Jun 30, 2024 | 409.51 Mn |
| Mar 31, 2024 | 420.36 Mn |
| Dec 31, 2023 | 472.43 Mn |
| Sep 30, 2023 | 567.04 Mn |
| Jun 30, 2023 | 520.75 Mn |
| Mar 31, 2023 | 425.98 Mn |
| Dec 31, 2022 | 154.22 Mn |
| Sep 30, 2022 | 288.86 Mn |
| Jun 30, 2022 | 262.36 Mn |
| Mar 31, 2022 | 292.41 Mn |
| Dec 31, 2021 | 102.79 Mn |
| Sep 30, 2021 | 176.42 Mn |
Fortis Cash & Equivalents 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=cash-and-equivalents&ticker=FTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();