Osi Systems (OSIS) Long-Term Debt Repayments (2010 - 2026)
Osi Systems (OSIS) reported Long-Term Debt Repayments of $2.52 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 19.5% from $2.1 million a year earlier and unchanged from the prior quarter.
Osi Systems (OSIS) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Osi Systems posted Long-Term Debt Repayments of $136.83 million.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 164.5% (FY2021 to FY2026).
- By fiscal year, Long-Term Debt Repayments came in at $8.28 million in FY2025 (-2.0%), $8.45 million in FY2024 (-96.6%), $249.84 million in FY2023 (+442.3%) and $46.07 million in FY2022.
- Five-year quarterly Long-Term Debt Repayments spans a low of $205,000 in fiscal Q2 2022 and a high of $242.48 million in fiscal Q1 2023.
- Year over year, Long-Term Debt Repayments gained in three of the last seven quarters, with growth averaging 3.8%.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q3 2026 (growth of 23.2%); the low point was fiscal Q1 2024 (a decline of 99.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $2.52 million (Q3 2026), $1.88 million (Q2 2026) and $129.92 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn | 248.00 Mn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn | 2.00 Mn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn | 168.00 Mn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn | 500.00 Mn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn | 186.00 Mn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn | 582.00 Mn |
| 10 | Osi Systems | 3.26 Bn | 2.09 Bn | 167.95 Mn | 2.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.52 Mn |
| Mar 31, 2026 | 2.52 Mn |
| Dec 31, 2025 | 1.88 Mn |
| Sep 30, 2025 | 129.92 Mn |
| Jun 30, 2025 | 2.10 Mn |
| Mar 31, 2025 | 2.04 Mn |
| Dec 31, 2024 | 2.05 Mn |
| Sep 30, 2024 | 2.08 Mn |
| Jun 30, 2024 | 2.20 Mn |
| Mar 31, 2024 | 2.08 Mn |
| Dec 31, 2023 | 2.10 Mn |
| Sep 30, 2023 | 2.07 Mn |
| Jun 30, 2023 | 2.02 Mn |
| Mar 31, 2023 | 2.04 Mn |
| Dec 31, 2022 | 3.30 Mn |
| Sep 30, 2022 | 242.48 Mn |
| Jun 30, 2022 | 5.18 Mn |
| Mar 31, 2022 | 40.40 Mn |
| Dec 31, 2021 | 205,000.00 |
| Sep 30, 2021 | 286,000.00 |
Osi Systems Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=OSIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=OSIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();