Osi Systems (OSIS) Cash & Equivalents (2010 - 2026)
Osi Systems (OSIS) recorded Cash & Equivalents of $359.83 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 238.2% from $106.41 million a year earlier and up 4.2% from the prior quarter.
Osi Systems (OSIS) Cash & Equivalents (2010 - 2026) Analysis & Trends
Starting with fiscal Q1 2011, Osi Systems' Cash & Equivalents history includes 64 quarters.
- Annual Cash & Equivalents has increased for four straight fiscal years, with a five-year compound annual growth rate of 34.9% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $106.41 million in FY2025 (+11.5%), $95.4 million in FY2024 (+24.2%), $76.8 million in FY2023 (+19.6%) and $64.2 million in FY2022 (-20.4%).
- The fiscal Q4 2026 figure is the highest quarterly Cash & Equivalents in data going back to fiscal Q1 2011.
- On a year-over-year basis, Cash & Equivalents has increased for five consecutive quarters, with growth averaging 95.6% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 260.3% in fiscal Q3 2026, against a decline of 47.2% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $345.24 million (Q3 2026), $336.72 million (Q2 2026) and $124.42 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Osi Systems | 3.13 Bn | 1.97 Bn | 167.95 Mn | 359.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 359.83 Mn |
| Mar 31, 2026 | 345.24 Mn |
| Dec 31, 2025 | 336.72 Mn |
| Sep 30, 2025 | 124.42 Mn |
| Jun 30, 2025 | 106.41 Mn |
| Mar 31, 2025 | 95.83 Mn |
| Dec 31, 2024 | 101.63 Mn |
| Sep 30, 2024 | 85.10 Mn |
| Jun 30, 2024 | 95.40 Mn |
| Mar 31, 2024 | 101.44 Mn |
| Dec 31, 2023 | 127.30 Mn |
| Sep 30, 2023 | 82.60 Mn |
| Jun 30, 2023 | 76.80 Mn |
| Mar 31, 2023 | 65.62 Mn |
| Dec 31, 2022 | 45.60 Mn |
| Sep 30, 2022 | 54.00 Mn |
| Jun 30, 2022 | 64.20 Mn |
| Mar 31, 2022 | 83.30 Mn |
| Dec 31, 2021 | 86.33 Mn |
| Sep 30, 2021 | 54.70 Mn |
Osi Systems Cash & Equivalents 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=cash-and-equivalents&ticker=OSIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=OSIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();