Osi Systems (OSIS) EBITDA (2010 - 2026)
Osi Systems (OSIS) recorded EBITDA of $87.15 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.8% from $83.94 million a year earlier and up 38.9% from the prior quarter.
Osi Systems (OSIS) EBITDA (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Osi Systems reported EBITDA of $261.62 million, up 0.2% from FY2025.
- Annual EBITDA has increased for six straight fiscal years, with a five-year compound annual growth rate of 10.4% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $261.1 million in FY2025 (+12.9%), $231.27 million in FY2024 (+33.1%), $173.79 million in FY2023 (+8.3%) and $160.43 million in FY2022 (+0.8%).
- The fiscal Q4 2026 figure is the highest quarterly EBITDA in data going back to fiscal Q1 2011.
- On a year-over-year basis, EBITDA rose in six of the last eight quarters, with growth averaging 7.6%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 78.4% in fiscal Q2 2024, against a decline of 19.0% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $62.74 million (Q3 2026), $68.4 million (Q2 2026) and $43.33 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Osi Systems | 3.07 Bn | 1.91 Bn | 167.95 Mn | 87.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.15 Mn |
| Mar 31, 2026 | 62.74 Mn |
| Dec 31, 2025 | 68.40 Mn |
| Sep 30, 2025 | 43.33 Mn |
| Jun 30, 2025 | 83.94 Mn |
| Mar 31, 2025 | 66.78 Mn |
| Dec 31, 2024 | 68.60 Mn |
| Sep 30, 2024 | 41.78 Mn |
| Jun 30, 2024 | 74.54 Mn |
| Mar 31, 2024 | 61.99 Mn |
| Dec 31, 2023 | 62.61 Mn |
| Sep 30, 2023 | 32.13 Mn |
| Jun 30, 2023 | 66.85 Mn |
| Mar 31, 2023 | 44.01 Mn |
| Dec 31, 2022 | 35.09 Mn |
| Sep 30, 2022 | 27.84 Mn |
| Jun 30, 2022 | 49.26 Mn |
| Mar 31, 2022 | 38.22 Mn |
| Dec 31, 2021 | 38.58 Mn |
| Sep 30, 2021 | 34.38 Mn |
Osi Systems 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=OSIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "OSIS", "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=OSIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();