Janel (JANL) Operating Expenses (2010 - 2026)
Janel (JANL) reported Operating Expenses of $17.84 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 25.8% from $14.18 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Janel (JANL) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Janel's Operating Expenses came in at $68.05 million, up 19.7% year-over-year; for FY2025 (ended Sep 30, 2025), it was $58.56 million, up 7.2% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $54.63 million in FY2024 (+2.9%), $53.07 million in FY2023 (-6.4%), $56.7 million in FY2022 (+99.1%) and $28.48 million in FY2021 (+12.8%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses since fiscal Q1 2016.
- Year over year, Operating Expenses has now increased in each of the last ten quarters, with growth averaging 13.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2022 (growth of 115.6%); the low point was fiscal Q4 2023 (a decline of 14.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $17.02 million (Q2 2026), $17.14 million (Q1 2026) and $16.05 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 4.10 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 2.34 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Janel | 56.94 Mn | 2.81 Mn | 21.49 Mn | 17.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.84 Mn |
| Mar 31, 2026 | 17.02 Mn |
| Dec 31, 2025 | 17.14 Mn |
| Sep 30, 2025 | 16.05 Mn |
| Jun 30, 2025 | 14.18 Mn |
| Mar 31, 2025 | 14.40 Mn |
| Dec 31, 2024 | 13.93 Mn |
| Sep 30, 2024 | 14.33 Mn |
| Jun 30, 2024 | 13.91 Mn |
| Mar 31, 2024 | 13.24 Mn |
| Dec 31, 2023 | 13.14 Mn |
| Sep 30, 2023 | 13.22 Mn |
| Jun 30, 2023 | 13.47 Mn |
| Mar 31, 2023 | 12.85 Mn |
| Dec 31, 2022 | 13.54 Mn |
| Sep 30, 2022 | 15.50 Mn |
| Jun 30, 2022 | 13.99 Mn |
| Mar 31, 2022 | 14.36 Mn |
| Dec 31, 2021 | 12.85 Mn |
| Sep 30, 2021 | 8.37 Mn |
API Access
Janel Operating Expenses 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=operating-expenses&ticker=JANL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "JANL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=JANL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();