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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 2.88 Bn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 1.68 Bn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 795.00 Mn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Osi Systems | 3.22 Bn | 2.05 Bn | 167.95 Mn | 88.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.18 Mn |
| Mar 31, 2026 | 63.76 Mn |
| Dec 31, 2025 | 69.11 Mn |
| Sep 30, 2025 | 43.78 Mn |
| Jun 30, 2025 | 84.37 Mn |
| Mar 31, 2025 | 67.23 Mn |
| Dec 31, 2024 | 69.05 Mn |
| Sep 30, 2024 | 42.13 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 | 28.04 Mn |
| Jun 30, 2022 | 49.55 Mn |
| Mar 31, 2022 | 38.56 Mn |
| Dec 31, 2021 | 38.93 Mn |
| Sep 30, 2021 | 34.73 Mn |
API Access
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_KEYimport 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();