APi (APG) EBIT (2019 - 2026)
APi (APG) posted EBIT of $175 million for Q2 2026, up 22.4% from $143 million a year earlier and up 69.9% from the prior quarter.
APi (APG) EBIT (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at APi was $605 million, up 24.7% year-over-year; for FY2025, it came in at $554 million, up 14.5% from FY2024.
- Annual EBIT has increased for four consecutive years.
- In prior years, APi's EBIT was $484 million in FY2024 (+34.8%), $359 million in FY2023 (+121.6%), $162 million in FY2022 (+19.1%) and $136 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly EBIT in data going back to Q1 2019.
- On a year-over-year basis, EBIT has increased in each of the last five quarters, with growth averaging 23.7% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q2 2023, with growth of 81.4%; the weakest was Q3 2021, with a decline of 33.9%.
- According to Business Quant data, EBIT for the three prior quarters was $103 million (Q1 2026), $164 million (Q4 2025) and $163 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 3.18 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 673.04 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 373.53 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 175.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 215.59 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 201.36 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 150.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 378.52 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 157.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 175.00 Mn |
| Mar 31, 2026 | 103.00 Mn |
| Dec 31, 2025 | 164.00 Mn |
| Sep 30, 2025 | 163.00 Mn |
| Jun 30, 2025 | 143.00 Mn |
| Mar 31, 2025 | 84.00 Mn |
| Dec 31, 2024 | 116.00 Mn |
| Sep 30, 2024 | 142.00 Mn |
| Jun 30, 2024 | 126.00 Mn |
| Mar 31, 2024 | 100.00 Mn |
| Dec 31, 2023 | 75.00 Mn |
| Sep 30, 2023 | 104.00 Mn |
| Jun 30, 2023 | 107.00 Mn |
| Mar 31, 2023 | 73.00 Mn |
| Dec 31, 2022 | 49.00 Mn |
| Sep 30, 2022 | 61.00 Mn |
| Jun 30, 2022 | 59.00 Mn |
| Mar 31, 2022 | -7.00 Mn |
| Dec 31, 2021 | 50.00 Mn |
| Sep 30, 2021 | 41.00 Mn |
APi EBIT 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=ebit&ticker=APG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=APG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();