FirstService (FSV) Operating Leases (2016 - 2026)
FirstService (FSV) posted Operating Leases of $248.95 million for the quarter ended Jun 30, 2026, down 0.2% from $249.53 million a year earlier and down 0.9% from the prior quarter.
FirstService (FSV) Operating Leases (2016 - 2026) Analysis & Trends
As of Dec 31, 2025, FirstService's Operating Leases came in at $242.59 million, up 13.1% from the prior year.
- Annual Operating Leases has increased for four consecutive years, with a five-year compound annual growth rate of 13.5% (years ended Dec 2020 to Dec 2025).
- In prior years, FirstService's Operating Leases was $214.42 million in the year ended Dec 31, 2024 (+16.6%), $183.92 million in the year ended Dec 31, 2023 (+9.1%), $168.56 million in the year ended Dec 31, 2022 (+37.8%) and $122.34 million in the year ended Dec 31, 2021 (-5.0%).
- Quarterly Operating Leases has run from a low of $122.34 million in the quarter ended Dec 31, 2021 to a high of $251.28 million in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, Operating Leases increased in seven of the last eight quarters, with growth averaging 16.8%.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Mar 31, 2023, with growth of 40.0%; the weakest was the quarter ended Dec 31, 2021, with a decline of 5.0%.
- According to Business Quant data, Operating Leases for the three prior quarters was $251.28 million (quarter ended Mar 31, 2026), $242.59 million (quarter ended Dec 31, 2025) and $248.75 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 146.60 Bn | 105.88 Bn | 6.13 Bn |
| 2 | Cintas | 86.21 Bn | 85.29 Bn | 1.55 Bn |
| 3 | Iron Mountain | 34.24 Bn | 33.43 Bn | 1.07 Bn |
| 4 | APi | 17.51 Bn | 14.55 Bn | 703.00 Mn |
| 5 | Rollins | 16.02 Bn | 15.57 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.94 Bn | 13.70 Bn | 417.00 Mn |
| 7 | Aramark | 14.83 Bn | 12.77 Bn | 430.34 Mn |
| 8 | Gartner | 14.41 Bn | 8.10 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.67 Bn | 4.19 Bn | - |
| 10 | FirstService | 6.31 Bn | 5.58 Bn | 480.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248.95 Mn |
| Mar 31, 2026 | 251.28 Mn |
| Dec 31, 2025 | 242.59 Mn |
| Sep 30, 2025 | 248.75 Mn |
| Jun 30, 2025 | 249.53 Mn |
| Mar 31, 2025 | 232.44 Mn |
| Dec 31, 2024 | 214.42 Mn |
| Sep 30, 2024 | 221.33 Mn |
| Jun 30, 2024 | 194.67 Mn |
| Mar 31, 2024 | 178.40 Mn |
| Dec 31, 2023 | 183.92 Mn |
| Sep 30, 2023 | 175.49 Mn |
| Jun 30, 2023 | 175.99 Mn |
| Mar 31, 2023 | 174.19 Mn |
| Dec 31, 2022 | 168.56 Mn |
| Sep 30, 2022 | 131.79 Mn |
| Jun 30, 2022 | 128.13 Mn |
| Mar 31, 2022 | 124.39 Mn |
| Dec 31, 2021 | 122.34 Mn |
| Sep 30, 2021 | 128.89 Mn |
FirstService Operating Leases 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=operating-leases&ticker=FSV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "FSV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=FSV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();