Sifco Industries (SIF) Inventory (2010 - 2026)
Sifco Industries (SIF) reported Inventory of $10.07 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 36.0% from $7.4 million a year earlier and up 45.3% from the prior quarter.
Sifco Industries (SIF) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Sifco Industries posted Inventory of $4.19 million, down 32.7% from FY2024.
- Inventory has a five-year compound annual growth rate of -23.1% (FY2020 to FY2025).
- By fiscal year, Inventory came in at $6.23 million in FY2024 (+37.0%), $4.55 million in FY2023 (-49.3%), $8.97 million in FY2022 (-28.5%) and $12.55 million in FY2021 (-19.4%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Inventory since fiscal Q3 2024.
- Year over year, Inventory has now increased in each of the last three quarters, with an average decline of 10.9% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q1 2024 (growth of 49.4%); the low point was fiscal Q2 2025 (a decline of 55.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $6.93 million (Q2 2026), $6.56 million (Q1 2026) and $4.19 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 12.44 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 14.41 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 88.39 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 4.41 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 2.18 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 9.10 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 1.33 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.42 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 6.40 Bn |
| 10 | Sifco Industries | 139.46 Mn | 137.49 Mn | 3.42 Mn | 10.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.07 Mn |
| Mar 31, 2026 | 6.93 Mn |
| Dec 31, 2025 | 6.56 Mn |
| Sep 30, 2025 | 4.19 Mn |
| Jun 30, 2025 | 7.40 Mn |
| Mar 31, 2025 | 6.20 Mn |
| Dec 31, 2024 | 5.68 Mn |
| Sep 30, 2024 | 6.23 Mn |
| Jun 30, 2024 | 13.42 Mn |
| Mar 31, 2024 | 13.85 Mn |
| Dec 31, 2023 | 12.43 Mn |
| Sep 30, 2023 | 4.55 Mn |
| Jun 30, 2023 | 10.61 Mn |
| Mar 31, 2023 | 11.28 Mn |
| Dec 31, 2022 | 8.32 Mn |
| Sep 30, 2022 | 8.97 Mn |
| Jun 30, 2022 | 12.52 Mn |
| Mar 31, 2022 | 14.54 Mn |
| Dec 31, 2021 | 14.98 Mn |
| Sep 30, 2021 | 12.55 Mn |
Sifco Industries Inventory 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=inventory&ticker=SIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "SIF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();