APi (APG) Accumulated Expenses (2019 - 2026)
APi's (APG) quarterly Accumulated Expenses came in at $372.0 million in Q2 2026, up 12.73% on a YoY basis from $330.0 million in Q2 2025, and up 15.53% quarter-over-quarter from $322.0 million in Q1 2026.
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APi (APG) Accumulated Expenses (2019 - 2026) Analysis & Trends
APi (APG) has reported Accumulated Expenses for 8 consecutive years, with $372.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses rose 12.73% year-over-year to $372.0 million; the trailing twelve-month figure through Jun 2026 stood at $372.0 million (up 12.73% YoY), and the FY2025 full-year result was $444.0 million, up 16.54% from the prior year.
- Accumulated Expenses grew to $372.0 million in Q2 2026 per APG's latest filing, from $322.0 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $444.0 million in Q4 2025 and bottomed at $241.0 million in Q1 2024.
- Historically, Accumulated Expenses has averaged $321.2 million across 5 years, with a median of $321.0 million in 2023.
- The sharpest annual moves came in 2022 and 2023: Accumulated Expenses surged 102.42% in 2022, then declined 2.79% in 2023.
- Over 5 years, Accumulated Expenses stood at $337.0 million in 2022, then advanced by 7.72% to $363.0 million in 2023, then grew by 4.96% to $381.0 million in 2024, then gained by 16.54% to $444.0 million in 2025, then retreated by 16.22% to $372.0 million in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $372.0 million, $322.0 million, and $444.0 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cintas | 79.09 Bn | 78.80 Bn | 1.48 Bn |
| 2 | Iron Mountain | 34.02 Bn | 34.14 Bn | 1.07 Bn |
| 3 | APi | 16.16 Bn | 15.31 Bn | 703.00 Mn |
| 4 | Rollins | 15.61 Bn | 15.50 Bn | 569.95 Mn |
| 5 | Aramark | 14.88 Bn | 14.45 Bn | 430.34 Mn |
| 6 | FirstService | 5.90 Bn | 6.24 Bn | 480.66 Mn |
| 7 | Unifirst | 4.73 Bn | 4.56 Bn | 234.73 Mn |
| 8 | Geo | 4.20 Bn | 3.95 Bn | - |
| 9 | CoreCivic | 3.49 Bn | 3.38 Bn | - |
| 10 | Abm Industries | 2.92 Bn | 2.81 Bn | 286.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 372.00 Mn |
| Mar 31, 2026 | 322.00 Mn |
| Dec 31, 2025 | 444.00 Mn |
| Sep 30, 2025 | 390.00 Mn |
| Jun 30, 2025 | 330.00 Mn |
| Mar 31, 2025 | 282.00 Mn |
| Dec 31, 2024 | 381.00 Mn |
| Sep 30, 2024 | 342.00 Mn |
| Jun 30, 2024 | 297.00 Mn |
| Mar 31, 2024 | 241.00 Mn |
| Dec 31, 2023 | 363.00 Mn |
| Sep 30, 2023 | 320.00 Mn |
| Jun 30, 2023 | 296.00 Mn |
| Mar 31, 2023 | 244.00 Mn |
| Dec 31, 2022 | 337.00 Mn |
| Sep 30, 2022 | 294.00 Mn |
| Jun 30, 2022 | 275.00 Mn |
| Mar 31, 2022 | 251.00 Mn |
| Dec 31, 2021 | 209.00 Mn |
| Sep 30, 2021 | 147.00 Mn |
API Access
APi 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=APG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "APG", "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=APG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();