FirstService (FSV) Accumulated Expenses (2014 - 2026)
FirstService's Accumulated Expenses was $386.12 million in the quarter ended Jun 30, 2026, down 2.7% from $396.79 million a year earlier but up 4.8% from the prior quarter.
FirstService (FSV) Accumulated Expenses (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at FirstService came in at $388.55 million, up 5.7% from the prior year.
- Accumulated Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 9.1% (years ended Dec 2020 to Dec 2025).
- In earlier years, Accumulated Expenses was $367.44 million in the year ended Dec 31, 2024 (+12.1%), $327.74 million in the year ended Dec 31, 2023 (+16.1%), $282.32 million in the year ended Dec 31, 2022 (-1.4%) and $286.4 million in the year ended Dec 31, 2021 (+14.0%).
- Quarterly Accumulated Expenses has moved between $253.46 million (the quarter ended Mar 31, 2022) and $396.79 million (the quarter ended Jun 30, 2025) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in seven of the last eight quarters, with growth averaging 10.5%.
- The best year-over-year quarter for Accumulated Expenses over five years was the quarter ended Sep 30, 2021 (growth of 30.0%); the worst was the quarter ended Sep 30, 2022 (a decline of 5.7%).
- Per Business Quant data, FSV's Accumulated Expenses in the three quarters before the quarter ended Jun 30, 2026 was $368.5 million (quarter ended Mar 31, 2026), $388.55 million (quarter ended Dec 31, 2025) and $382.09 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - |
| 10 | FirstService | 6.23 Bn | 5.49 Bn | 480.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 386.12 Mn |
| Mar 31, 2026 | 368.50 Mn |
| Dec 31, 2025 | 388.55 Mn |
| Sep 30, 2025 | 382.09 Mn |
| Jun 30, 2025 | 396.79 Mn |
| Mar 31, 2025 | 334.76 Mn |
| Dec 31, 2024 | 367.44 Mn |
| Sep 30, 2024 | 349.39 Mn |
| Jun 30, 2024 | 346.64 Mn |
| Mar 31, 2024 | 286.49 Mn |
| Dec 31, 2023 | 327.74 Mn |
| Sep 30, 2023 | 296.45 Mn |
| Jun 30, 2023 | 312.41 Mn |
| Mar 31, 2023 | 262.47 Mn |
| Dec 31, 2022 | 282.32 Mn |
| Sep 30, 2022 | 265.76 Mn |
| Jun 30, 2022 | 273.54 Mn |
| Mar 31, 2022 | 253.46 Mn |
| Dec 31, 2021 | 286.40 Mn |
| Sep 30, 2021 | 281.74 Mn |
FirstService Accumulated Expenses 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=accumulated-expenses&ticker=FSV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=FSV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();