Espey Mfg & Electronics (ESP) Cost of Revenue (2010 - 2026)
Espey Mfg & Electronics' Cost of Revenue came in at $8.85 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 51.9% from $5.82 million a year earlier and up 23.0% from the prior quarter.
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Analysis
Espey Mfg & Electronics (ESP) Cost of Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Espey Mfg & Electronics' Cost of Revenue was $29.84 million, down 4.6% from FY2025.
- Cost of Revenue carries a four-year compound annual growth rate of 2.9% (FY2022 to FY2026).
- Going back by fiscal year, Cost of Revenue was $31.27 million in FY2025 (+11.3%), $28.08 million in FY2024 (+2.0%), $27.54 million in FY2023 (+3.4%) and $26.63 million in FY2022.
- The fiscal Q4 2026 figure represents the highest quarterly Cost of Revenue since fiscal Q2 2025.
- Year-over-year, Cost of Revenue increased in four of the last eight quarters, with growth averaging 7.2%.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q4 2026 (growth of 51.9%), and the weakest in fiscal Q4 2025 (a decline of 30.7%).
- Business Quant data shows ESP's Cost of Revenue at $7.19 million (Q3 2026), $7.92 million (Q2 2026) and $5.88 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Espey Mfg & Electronics | 190.87 Mn | 8.69 Mn | 4.63 Mn | 8.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.85 Mn |
| Mar 31, 2026 | 7.19 Mn |
| Dec 31, 2025 | 7.92 Mn |
| Sep 30, 2025 | 5.88 Mn |
| Jun 30, 2025 | 5.82 Mn |
| Mar 31, 2025 | 7.35 Mn |
| Dec 31, 2024 | 10.45 Mn |
| Sep 30, 2024 | 7.64 Mn |
| Jun 30, 2024 | 8.41 Mn |
| Mar 31, 2024 | 6.19 Mn |
| Dec 31, 2023 | 7.16 Mn |
| Sep 30, 2023 | 6.32 Mn |
| Jun 30, 2023 | 6.34 Mn |
| Mar 31, 2023 | 7.84 Mn |
| Dec 31, 2022 | 6.54 Mn |
| Sep 30, 2022 | 6.82 Mn |
| Jun 30, 2022 | 7.30 Mn |
| Mar 31, 2022 | 6.89 Mn |
| Dec 31, 2021 | 6.25 Mn |
| Sep 30, 2021 | 6.19 Mn |
API Access
Espey Mfg & Electronics Cost of Revenue 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=cost-of-revenue&ticker=ESP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "ESP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=ESP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();