Sifco Industries (SIF) Cash & Equivalents (2010 - 2026)
Sifco Industries (SIF) reported Cash & Equivalents of $77,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 96.1% from $1.98 million a year earlier and down 74.7% from the prior quarter.
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Analysis
Sifco Industries (SIF) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Sifco Industries posted Cash & Equivalents of $491,000, down 71.4% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- By fiscal year, Cash & Equivalents came in at $1.71 million in FY2024, $21,000 in FY2023 (-98.2%), $1.17 million in FY2022 (+239.3%) and $346,000 in FY2021 (-19.0%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Cash & Equivalents since fiscal Q4 2023.
- Year over year, Cash & Equivalents has now declined in each of the last four quarters, with an average decline of 20.8% over the last seven quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2023 (growth of 438.7%); the low point was fiscal Q4 2023 (a decline of 98.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $304,000 (Q2 2026), $1.11 million (Q1 2026) and $491,000 (Q4 2025).
Peer Set
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 | Sifco Industries | 147.41 Mn | 145.43 Mn | 3.42 Mn | 77,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77,000.00 |
| Mar 31, 2026 | 304,000.00 |
| Dec 31, 2025 | 1.11 Mn |
| Sep 30, 2025 | 491,000.00 |
| Jun 30, 2025 | 1.98 Mn |
| Mar 31, 2025 | 1.92 Mn |
| Dec 31, 2024 | 3.14 Mn |
| Sep 30, 2024 | 1.71 Mn |
| Jun 30, 2024 | 1.70 Mn |
| Mar 31, 2024 | 747,000.00 |
| Dec 31, 2023 | 3.24 Mn |
| Sep 30, 2023 | 21,000.00 |
| Jun 30, 2023 | 598,000.00 |
| Mar 31, 2023 | 316,000.00 |
| Dec 31, 2022 | 1.16 Mn |
| Sep 30, 2022 | 1.17 Mn |
| Jun 30, 2022 | 111,000.00 |
| Mar 31, 2022 | 124,000.00 |
| Dec 31, 2021 | 748,000.00 |
| Sep 30, 2021 | 346,000.00 |
API Access
Sifco Industries 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=SIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();