APi (APG) EBITDA (2019 - 2026)
APi (APG) posted EBITDA of $264 million for Q2 2026, up 17.9% from $224 million a year earlier and up 41.2% from the prior quarter.
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Analysis
APi (APG) EBITDA (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at APi was $944 million, up 17.4% year-over-year; for FY2025, it came in at $881 million, up 12.1% from FY2024.
- Annual EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 55.5% (FY2020 to FY2025).
- In prior years, APi's EBITDA was $786 million in FY2024 (+18.7%), $662 million in FY2023 (+42.1%), $466 million in FY2022 (+37.9%) and $338 million in FY2021 (+248.5%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2019.
- On a year-over-year basis, EBITDA has increased in each of the last five quarters, with growth averaging 16.1% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2023, with growth of 113.0%; the weakest was Q3 2021, with a decline of 18.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $187 million (Q1 2026), $249 million (Q4 2025) and $244 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 351.69 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 234.97 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 172.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 264.00 Mn |
| Mar 31, 2026 | 187.00 Mn |
| Dec 31, 2025 | 249.00 Mn |
| Sep 30, 2025 | 244.00 Mn |
| Jun 30, 2025 | 224.00 Mn |
| Mar 31, 2025 | 164.00 Mn |
| Dec 31, 2024 | 197.00 Mn |
| Sep 30, 2024 | 219.00 Mn |
| Jun 30, 2024 | 201.00 Mn |
| Mar 31, 2024 | 169.00 Mn |
| Dec 31, 2023 | 152.00 Mn |
| Sep 30, 2023 | 181.00 Mn |
| Jun 30, 2023 | 182.00 Mn |
| Mar 31, 2023 | 147.00 Mn |
| Dec 31, 2022 | 128.00 Mn |
| Sep 30, 2022 | 134.00 Mn |
| Jun 30, 2022 | 135.00 Mn |
| Mar 31, 2022 | 69.00 Mn |
| Dec 31, 2021 | 98.00 Mn |
| Sep 30, 2021 | 93.00 Mn |
API Access
APi EBITDA 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=ebitda&ticker=APG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=APG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();